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1
Adi Wijaya, Adi Wijaya, Toibah Umi Kalsum, and Riska. "Penerapan OPNsense Sebagai Sistem Keamanan Web Server Menggunakan Metode Host Instrusion Prevention System." JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER 13, no. 2 (2023): 91–100. http://dx.doi.org/10.33369/jamplifier.v13i2.31514.
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This research was conducted to detect and prevent disturbances or intrusions that occur on web servers, because by default the security system on web servers in a network still depends on the administrator, so the security of server really depends on the alertness of an administrator in responding to disturbances that occur on the web server. This research is using experimental method. This research was carried out by implementing OPNsense as a web server security system using Host Intrusion Prevention System method. The experimental results are then documented to carry out analysis so that appropriate recommendations are produced for designing a web server security system using HIPS method. The results of this research show that OPNsense can be used as a Host Intrusion Prevention System for LAN networks to secure web servers. OPNsense can prevent Port Scanning carried out on LAN networks. SQL injection process failed because no ID parameter was found. Apart from that, information is also visible that the web server is protected by WAF/IPS. Metasploit application via eth0 does not have permission to carry out a DOS attack on network devices with the address 192.168.80.200, which is the address of the web server.
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Nugroho, Dyakso Anindito, Adian Fatchur Rochim, and Eko Didik Widianto. "Perancangan dan Implementasi Instrusion Detection System di Jaringan Universitas Diponegoro." Jurnal Teknologi dan Sistem Komputer 3, no. 2 (2015): 171. http://dx.doi.org/10.14710/jtsiskom.3.2.2015.171-178.
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The use of information technology gives the advantage of open access for its users, but a new problem arises that there is a threat from unauthorized users. Intrusion Detection System (IDS) is applied to assist administrator to monitoring network security. IDS displays illegal access information in a raw form which is require more time to read the detected threats. This final project aims to design an IDS with web application which is made for pulling information on IDS sensor database, then processing and representing them in tables and graphs that are easy to understand. The web application also has IpTables firewall module to block attacker's IP address. The hardware used is Cisco IPS 4240, two computers Compaq Presario 4010F as client and gateway, and Cisco Catalyst 2960 switch. The software used is Ubuntu 12.0 LTS Precise operating system, BackTrack 5 R1 operating system, PHP 5.4 programming language, MySQL 5 database, and web-based system configuration tool Webmin. Testing is done using several BackTrack applications with the aim of Cisco IPS 4240 is capable of detecting accordance with the applicable rules. Each events of any attack attempt or threat was obtained from IDS sensor database in XML form. XML file is sent using Security Device Event Exchange (SDEE) protocol. The web application is tested by looking at the output tables and graphs that displays the appropriate results of sensor detection. This study generated an intrusion detection system that is easier to monitor. Network packets copied by the Cisco 2960 switch and then forwarded to the sensor. Intruder detection is done by Cisco IPS 4240 sensor. Log detection processed by the web application into tables and graphs. Intrusion detection systems are intended to improve network security.
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Nugroho, Muhammad Arief, and Novian Anggis Suwastika. "Perancangan Intrusion Prevention System pada Jaringan Software Defined Networks." JUMANJI (Jurnal Masyarakat Informatika Unjani) 2, no. 1 (2018): 1. http://dx.doi.org/10.26874/jumanji.v2i1.17.
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Keamanan jaringan telah menjadi bagian penting dalam implementasi di dalam jaringan Software Defined Network (SDN). Menyelenggarakan jaringan aman di dalam jaringan SDN merupakan tantangan tersendiri karena bagaimana sebuah perangkat jaringan dapat mampu mengenali, mengidentifikasi, dan mencegah serangan di level perangkat jaringan bukan di level host. Intrusion Prevention System (IPS) memberikan kemampuan untuk mengenali, mengidentifikasi, dan mencegah serangan yang terjadi secara otomatis. Integrasi IPS ke dalam jaringan SDN memberikan keuntungan bahwa administrator dapat mengatur dan memonitor keamanan jaringan secara terpusat. Dari hasil pengujian yang telah dilakukan, integrasi IPS ke dalam jaringan SDN mampu mendeteksi dan mencegah serangan yang terjadi dalam jaringan SDN sesuai dengan rule yang terdefinisi dalam IPS. Namun, terjadi penurunan kinerja throughput, delay, dan jitter di dalam jaringan SDN. Hal ini terjadi karena setiap paket yang melewati perangkat jaringan harus melewati proses pengecekan rule di dalam IPS.
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Surbakti, Kevin Jorenta, Rohmat Tulloh, and Muhammad Nazel Djibran. "Implementasi Anti-DDOS Menggunakan Intrusion Prevention System (IPS) terhadap Serangan DDOS." Jurnal Informatika Universitas Pamulang 8, no. 2 (2023): 330–40. http://dx.doi.org/10.32493/informatika.v8i2.33685.
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Distributed Denial of Service (DDoS) is a type of attack that can exhaust server resources. This attack results in a decrease in server quality so that it cannot be accessed by authorized users. Servers that are commonly victimized by this attack belong to companies from various sectors. PT Datacomm Diangraha provides solutions to these problems. As PT Datacomm Diangraha will do to Company X, which is to implement an Intrusion Prevention System (IPS) device as Anti-DDoS on its customers according to the customer's needs. This paper will test IPS devices in preventing DDoS attacks such as TCP Flood, UDP Flood, and ICMP Flood. The test is conducted by connecting the attacker and victim to the IPS device in the local network. The analysis will be done by comparing the network traffic and throughput of the victim when the attack is carried out when protected by IPS, no protection, and when traffic is normal. Experiments were conducted by performing a one-minute attack. The results of the experiments show that the traffic when protected by an IPS is similar to that during normal traffic. In addition, tests were conducted to prevent XSS malware to prove that IPS can prevent other attacks besides DDoS. From the test results, it was found that IPS can prevent DDoS attacks with 100% accuracy. The throughput data obtained when a DDoS attack occurs without IPS protection is 260978.9 - 1080732.32 bps. Throughput data when a DDoS attack occurs with IPS protection of 42.55 - 49.95 bps, which shows similarity in value with throughput during normal traffic which is 43.43 bps.
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Tanang Anugrah, Faula, Syariful Ikhwan, and Jafaruddin Gusti A.G. "Implementasi Intrusion Prevention System (IPS) Menggunakan Suricata Untuk Serangan SQL Injection." Techné : Jurnal Ilmiah Elektroteknika 21, no. 2 (2022): 199–210. http://dx.doi.org/10.31358/techne.v21i2.320.
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Intrusion Prevention System (IPS) merupakan salah satu tool pengamanan pada jaringan. Pada penelitian ini Suricata sebagai IPS untuk melindungi webserver dari serangan SQL Injection menggunakan SQLMap dengan melihat efektifitas rules dan parameter response time. Penelitian ini dilakukan di dalam sebuah Laboratorium fakultas dengan menggunakan topologi jaringan LAN yang di setting static. Suricata sebagai tool IPS terinstal pada PC yang berfungsi sebagai router sekaligus server IPS. Normal user dan attacker menggunakan sistem operasi Windows 10 sedangkan webserver dan server IPS menggunakan sistem operasi Ubuntu 20.04. Pengujian sistem keamanan dilakukan dengan menggunakan dua skenario yaitu skenario pertama ketika suricata non aktif dan skenario kedua ketika suricata aktif. Pengujian response time untuk semua skenario dilakukan sebanyak 30 kali selama serangan SQL Injection berlangsung. Hasil dari pengujian tersebut menunjukkan nilai rata-rata saat Suricata aktif 4,260633 milliseconds sedangkan ketika Suricata non-aktif 3,100033 milliseconds. Suricata pada penelitian ini berhasil berperan sebagai IPS yang bekerja setiap terjadinya serangan SQL Injection akan dideteksi oleh Suricata dengan melakukan pengecekan kecocokan paket terhadap signature rules. Rules yang dinilai efektif untuk menghadapi serangan sql Injection adalah rules yang menggunakan beberapa kode ASCII sebagai kata kuncinya. Server IPS ketika suricata aktif membutuhkan waktu yang lebih lama untuk menanggapi suatu paket.
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Dulanovic, Nenad, Dane Hinic, and Dejan Simic. "An intrusion prevention system as a proactive security mechanism in network infrastructure." Yugoslav Journal of Operations Research 18, no. 1 (2008): 109–22. http://dx.doi.org/10.2298/yjor0801109d.
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A properly configured firewall is a good starting point in securing a computer network. However, complex network environments that involve higher number of participants and endpoints require better security infrastructure. Intrusion Detection Systems (IDS), proposed as a solution to perimeter defense, have many open problems and it is clear that better solutions must be found. Due to many unsolved problems associated with IDS, Intrusion Prevention Systems (IPS) are introduced. The main idea in IPS is to be proactive. This paper gives an insight of Cobrador Bouncer IPS implementation. System architecture is given and three different Bouncer IPS deployment modes are presented. The Bouncer IPS as a proactive honeypot is also discussed.
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Guo, Jian, Hua Guo, and Zhong Zhang. "Research on High Performance Intrusion Prevention System Based on Suricata." Highlights in Science, Engineering and Technology 7 (August 3, 2022): 238–45. http://dx.doi.org/10.54097/hset.v7i.1077.
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Suricata is an open source, high-performance network IDS, IPS and network security monitoring engine. Based on Suricata and AF-PACKET technology, this paper research on the Suricata IPS applied to Huawei Kunpeng 920 CPU and Galaxy Kylin operating system, designs defense rules for common network threats at present, and tuning the performance of Suricata IPS in a high-traffic network environment. Using Ixia network tester, the results show that the design scheme can fully adapt to the relevant hardware system and software environment, the network throughput can reach 20Gbps.
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Nadir Ali, Mohammed, Madihah Mohd Saudi, Touhid Bhuiyan, and Azreena Abu Bakar. "Comparative Study of Traditional and Next Generation IPS." International Journal of Engineering & Technology 7, no. 4.15 (2018): 55. http://dx.doi.org/10.14419/ijet.v7i4.15.21371.
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Currently, cyber threats and attacks become a main concern among Internet users. To detect and prevent new and unknown attacks, an intelligent intrusion prevention system (IPS) which is better compared with traditional systems is needed. Furthermore, the Next Generation Intrusion Prevention System (NIGPS) is more suitable that could provide an intelligent IPS solution for new and unknown attacks. Therefore, this paper presents the limitation of traditional IPS systems, a comparison between IPS and NIGPS and proposes an enhanced model for NIGPS.
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Ardiyanto, Yudhi. "Portabel Intrusion Prevention System Untuk Mengamankan Koneksi Internet Saat Menggunakan WiFi Publik." Jurnal Sisfokom (Sistem Informasi dan Komputer) 11, no. 1 (2022): 107–13. http://dx.doi.org/10.32736/sisfokom.v11i1.1223.
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Saat ini hampir semua tempat umum menyediakan fasilitas Wireless Fidelity (WiFi) publik. Pengguna yang terkoneksi melalui fasilitas tersebut terkadang sering abai terhadap faktor keamanan data dan jaringan, yang terpenting bagi mereka adalah dapat menikmati akses internet secara gratis. Dari sisi keamanan WiFi publik cukup rentan karena jaringan ini bisa saja dipergunakan oleh pihak-pihak yang kurang bertanggung jawab untuk mengambil data penting dari para penggunanya, karena dari segi akses tidak ada pembatasan. Tujuan dari penelitian ini adalah untuk mengembangkan sistem yang berfungsi sebagai router gateway dan sistem yang mampu mencegah terhadap upaya serangan yang berjalan pada perangkat mini komputer. Penelitian ini menggunakan metode Intrusion Prevention System (IPS), dimana sistem ini mampu mendeteksi sekaligus melakukan pencegahan adanya serangan. Dari hasil penelitian diperoleh bahwa portabel IPS telah berhasil dikembangkan dengan menggunakan Raspberry Pi 4 Model B dilengkapi dengan LCD TFT 3,50 inch dan catu daya dengan kapasitas 10.000 mAh serta Suricata yang dikonfigurasi sebagai IPS. Serangan berupa port scanning menggunakan aplikasi zenmap berhasil dideteksi oleh portabel IPS. Selain berfungsi sebagai IPS perangkat ini mampu menjadi router gateway. Catu daya portabel IPS mampu bertahan selama 34611,22 detik dengan sebuah smartphone sebagai client.
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Tambunan, Bosman, Willy Sudiarto Raharjo, and Joko Purwadi. "Desain dan Implementasi Honeypot dengan Fwsnort dan PSAD sebagai Intrusion Prevention System." Jurnal ULTIMA Computing 5, no. 1 (2013): 1–7. http://dx.doi.org/10.31937/sk.v5i1.283.
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Teknologi Internet saat ini tidak lepas dari banyak masalah ataupun celah keamanan. Banyaknya celah keamanan ini dimanfaatkan oleh orang yang tidak berhak untuk mencuri data-data penting. Kasus serangan terjadi karena pihak yang diserang juga tidak menyadari pentingnya keamanan jaringan untuk diterapkan pada sistem yang dimiliki. Honeypot yang dipadu dengan IPS menggunakan PSAD dan Fwsnort memberikan solusi untuk masalah tersebut. IPS berfungsi sebagai sistem yang bekerja memantau aktivitas jaringan yang melalui sistem IPS pada mode inline dan memblokir alamat IP yang mencurigakan setelah data stream dicocokan dengan signature yang ada, sedangkan Honeypot bekerja untuk mengetahui aktivitas penyerang dan semua aktivitas yang menuju pada honeypot dianggap mencurigakan. Hasil penelitian menunjukkan bahwa kemampuan Honeypot yang dipadu dengan IPS PSAD dan Fwsnort dapat saling melengkapi dalam mendeteksi serangan yang tidak diketahui oleh sistem IPS. Sistem ini juga menghasilkan log data yang dapat digunakan oleh administrator dalam menanggulangi serangan yang terjadi.
 Kata kunci—intrusion prevention system, honeypot, psad, fwsnort, honeyd
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Safana Hyder Abbas, Wedad Abdul Khuder Naser, and Amal Abbas Kadhim. "Subject review: Intrusion Detection System (IDS) and Intrusion Prevention System (IPS)." Global Journal of Engineering and Technology Advances 14, no. 2 (2023): 155–58. http://dx.doi.org/10.30574/gjeta.2023.14.2.0031.
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Intrusion detection system (IDS) is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of possible incidents, which are violations or imminent threats of violation of computer security policies. An intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents. If anomaly traffic pass through the network IDS would generate a false positive which means it only detects the malicious traffic, takes no action and generates only alerts but IPS detects the malicious traffic or suspicious activity, takes the actions like terminate, block or drop the connections. This paper provides an explanation of network intrusion, detection, and prevention to overcome them.
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Safana, Hyder Abbas, Abdul Khuder Naser Wedad, and Abbas Kadhim Amal. "Subject review: Intrusion Detection System (IDS) and Intrusion Prevention System (IPS)." Global Journal of Engineering and Technology Advances 14, no. 2 (2023): 155–58. https://doi.org/10.5281/zenodo.7931783.
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Intrusion detection system (IDS) is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of possible incidents, which are violations or imminent threats of violation of computer security policies. An intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents. If anomaly traffic pass through the network IDS would generate a false positive which means it only detects the malicious traffic, takes no action and generates only alerts but IPS detects the malicious traffic or suspicious activity, takes the actions like terminate, block or drop the connections. This paper provides an explanation of network intrusion, detection, and prevention to overcome them.
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Parenreng, Jumadi Mabe, Fahru Rizal, and Maya Sari Wahyuni. "Simulation and Analysis of Network Security using Port Knocking and Intrusion Prevention System on Linux Server." Internet of Things and Artificial Intelligence Journal 4, no. 2 (2024): 226–43. http://dx.doi.org/10.31763/iota.v4i2.726.
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This research aims to design and simulate a network security system using port knocking and an intrusion prevention system (IPS) on a Linux-based server and analyze its security using port scanning, brute force, and DoS attacks. IPS uses inline snort mode with DAQ NFQ. The test results show that port knocking successfully opens and closes the port according to the knock sequence so that only those who know the knock sequence can access the port. The port scanning, SSH, and FTP Brute Force test results were successfully detected by IPS so that the attacker could not obtain any information. DoS testing with LOIC increased server CPU and memory usage, but after IPS rules were applied, usage stabilized. DoS testing with slowhttptest makes the webserver inaccessible to users, but after the IPS rule is applied, web access runs normally. In conclusion, IPS was successful in preventing all attacks because the attack packets complied with IPS rules so they were detected as threats and dropped by IPS. Test results of the Telegram monitoring system show that the system succeeded in sending real-time attack notifications with an average time difference of 2.9 seconds, and the report, start, and stop features worked as expected.
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Taufik, Rahman Ilham Rozen. "Strategi Penguatan Keamanan Jaringan dengan IDS dan IPS di PT. Toppan Plasindo Lestari Cibitung." TEKNIKA 19, no. 1 (2024): 249–59. https://doi.org/10.5281/zenodo.14195077.
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IDS (Intrusion Detection System) dan IPS (Intrusion Prevention System) merupakan teknologi keamanan jaringan yang esensial. IDS memantau lalu lintas jaringan dan aktivitas mencurigakan, IPS mengintegrasikan fungsi firewall dan IDS untuk menolak serangan yang teridentifikasi. Penelitian ini berfokus pada strategi penguatan keamanan jaringan di PT. Toppan Plasindo Lestari Cibitung melalui implementasi sistem Intrusion Detection System (IDS) dan Intrusion Prevention System (IPS). Masalah utama yang dihadapi adalah meningkatnya ancaman siber, seperti malware dan serangan DDoS, serta keterbatasan sistem keamanan tradisional dalam mendeteksi dan mencegah serangan secara efektif. Tujuan penelitian adalah merancang dan mengimplementasikan IDS dan IPS meningkatkan kemampuan deteksi dini dan pencegahan serangan. Metode pendekatan deskriptif dengan pengujian implementasi IDS dan IPS pada infrastruktur jaringan perusahaan, serta analisis kinerja sistem dalam menangani berbagai jenis ancaman. Pengujian menunjukkan komputer dengan Snort terinstal memberikan peringatan seperti deteksi aktivitas ping, percobaan koneksi server SSH, dan FTP. Hasil deteksi ini kemudian dicegah menggunakan iptables, memastikan penyusup tidak melakukan aktivitas yang ditentukan dalam aturan Snort. Hasil penelitian menunjukkan penggunaan IDS dan IPS secara signifikan meningkatkan deteksi dan pencegahan ancaman, mengurangi risiko serangan siber yang berdampak pada operasional perusahaan. Implementasi berhasil terintegrasi dengan infrastruktur tanpa mengganggu kinerja jaringan, memberikan perlindungan yang lebih komprehensif terhadap ancaman siber.
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Arta, Yudhi, Abdul Syukur, and Roni Kharisma. "Simulasi Implementasi Intrusion Prevention System (IPS) Pada Router Mikrotik." IT JOURNAL RESEARCH AND DEVELOPMENT 3, no. 1 (2018): 104–14. http://dx.doi.org/10.25299/itjrd.2018.vol3(1).1346.
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Keamanan jaringan komputer merupakan bagian dari sebuah sistem yang sangat penting untuk menjaga validitas dan integritas data serta menjamin ketersediaan layanan bagi penggunanya. Sistem deteksi penyusup jaringan yang ada saat ini umumnya mampu mendeteksi berbagai serangan tetapi tidak mampu mengambil tindakan lebih lanjut. Namun disatu sisi manusia sudah sangat tergantung dengan sistem informasi. Hal itu yang menyebabkan statistik insiden keamanan jaringan terus meningkat tajam dari tahun ke tahun. Ini disebabkan karena kepedulian masyarakat yang sangat kurang terhadap sistem keamanan jaringan. Maka dari itu dibutuhkan sebuah sistem yang dapat membantu network administrator untuk digunakan sebagai monitor trafik jaringan dengan Intrusion Prevention System (IPS) yang merupakan kombinasi antara fasilitas blocking capabilities dari Firewall.
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Susanti, Risa Eri, Arif Wirawan Muhammad, and Wahyu Adi Prabowo. "Implementasi Intrusion Prevention System (IPS) OSSEC dan Honeypot Cowrie." Jurnal Sisfokom (Sistem Informasi dan Komputer) 11, no. 1 (2022): 73–78. http://dx.doi.org/10.32736/sisfokom.v11i1.1246.
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Perkembangan teknologi yang semakin canggih ini banyak digunakan sebagai tindak kejahatan, seperti pencurian data, pemalsuan data hingga merusak sistem maupun jaringan. Dengan adanya permasalahan tersebut, dibutuhkan sistem pengamanan berlapis untuk menjaga integritas data maupun sistem agar tetap utuh. Pengamanan sistem OSSEC yang diintegrasikan dengan honeypot cowrie ini bertujuan untuk menekan waktu penyerangan, dimana pada sistem ini saling bekerja sama untuk memberikan log untuk melakukan tindakan terhadap penyerang. OSSEC bekerja layaknya firewall yang dapat melakukan allow maupun block. Sedangkan honeypot cowrie ini bekerja layaknya server asli untuk menjebak penyerang seolah-olah berhasil melakukan penyerangan. Dalam penelitian ini, sistem yang telah dirancang agar dapat menangani adanya serangan seperti Port Scanning, SSH brute force, Man in The Middle (MITM) attack, dan Distributed Denial of Service (DDoS). Dari hasil perbandingan serangan dengan confusion matrix ini OSSEC yang diintegrasikan dengan honeypot cowrie memiliki tingkat akurasi yang besar terhadap serangan DDoS, Berdasarkan log, akurasi deteksi dapat mencapai persentase 100%.
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Bharti, Shubham. "Intrusion detection and prevention systems (IDS/IPS) for OS protection." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31718.
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As cyber threats are increasing so it becomes important to secure operating systems. Traditional methods to secure OS is inadequate against sophisticated attacks so there is the necessity of intrusion detection and prevention systems(IDS/IPS). This research will help to protect OS from various cyber threats by making OS stronger with (IDS/IPS). This study investigates operational mechanisms and integration strategies of IDS/IPS within various different OS environments. The review of literature shows the evolution of IDS/IPS technologies, from signature-based to anomaly- based systems, which play a crucial role in preventing unauthorized access and reducing risks. Additionally, integrating IDS/IPS with OS represents a shift towards proactive security measures. Case studies highlight successful integration scenarios, demonstrating the practical benefits and challenges. In terms of methodology, this research uses a comprehensive evaluation framework, including metrics like detection rate and false positives. Real-world data, simulations, and comparative analysis are used to assess how effectively IDS/IPS enhance OS security. The results show a significant improvement in the ability to detect and prevent cyber threats when IDS/IPS are properly integrated with OS. This research is highly significant, showing the importance of adopting IDS/IPS for modern OS security. It emphasizes the need for organizations to shift to proactive defense strategies and strengthen their OS environments by leveraging IDS/IPS technologies. Future research directions include exploring AI- driven advancements in IDS/IPS and addressing emerging challenges in the ever-changing cyber threat landscape. This study provides a clear understanding of how IDS/IPS can be a crucial component in the arsenal of OS security. By shedding light on effective integration strategies and performance evaluation, it empowers stakeholders with insights on how to make their OS more resilient against evolving cyber threats. Key Words :- Intrusion Detection, Intrusion Prevention, IDS, IPS, Operating System Security, Cybersecurity.
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Suryayusra, Suryayusra, and Dedi Irawan. "PERBANDINGAN INTRUSION PREVENTION SYSTEM (IPS) PADA LINUX UBUNTU DAN LINUX CENTOS." Jurnal Teknologi Informasi Mura 12, no. 02 (2020): 131–44. http://dx.doi.org/10.32767/jti.v12i02.1023.
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Perkembangan teknologi yang Semakin hari semakin meningkat, kita di tuntut untuk meningkatkan system keamanan jaringan yang kita miliki, karena semakin mudahnya orang bisa mengetahui tentang hacking dan cracking dan juga didukung oleh tools yang mudah didapatkan secara gratis. Dan untuk mencegah hal itu kita harus megamankan jaringan yang kita gunakan, untuk mengamankan jaringan tersebut peneliti menggunakan sebuah metode keamanan yang bernama Intrusion Prevention System (IPS), merupakan media yang banyak digunakan dalam membangun sebuah system keamanan komputer, lalu IPS di gabungkan dengan menggunkan Teknik firewall dan metode Intrusioan Detection System, dalam penelitian ini penulis menggunakan sistem operasi Linux yaitu Ubuntu dan CentOS, karena linux merupakan software yang bersifat free/opensource sehingga untuk memperolehnya dapat diunduh secara gratis. Pada awalnya linux merupakan system operasi yang cocok untuk jaringan tapi sekarang linux sudah berubah menjadi system operasi yang tidak hanya handal dari segi jaringan dan server tapi juga sudah menjelma menjadi sistem operasi yang enak dipakai di lingkungan desktop baik untuk keperluan pribadi atau bahkan untuk perkantoran. Untuk mengamankan jaringan tersebut menggunakan sebuah mtode keamanan yaitu Intrusion Prevention System (IPS), juga dibantu dengan sebuah tools dalam sistem Operasi Linux yang berfungsi sebagai alat untuk melakukan filter (penyaring) terhadap lalulintas data (trafic), yaitu IPTables.
 
 Technological developments are increasing day by day, we are required to improve our network security system, because the easier it is for people to find out about hacking and cracking and it is also supported by tools that are easily available for free. And to prevent that we have to secure the network that we use, to secure the network researchers use a security method called the Intrusion Prevention System (IPS), which is a medium that is widely used in building a computer security system, then IPS is combined with using techniques. firewall and Intrusioan Detection System method, in this study the author uses the Linux operating system, namely Ubuntu and CentOS, because Linux is a free / opensource software so that it can be downloaded for free. Initially, linux was an operating system suitable for networking, but now linux has turned into an operating system that is not only reliable in terms of networks and servers but has also been transformed into an operating system that is comfortable to use in a desktop environment for personal use or even for offices. To secure the network using a security method, namely the Intrusion Prevention System (IPS), it is also assisted by a tool in the Linux operating system which functions as a tool for filtering data traffic, namely IPTables
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Ang, Sokroeurn, Sopheaktra Huy, and Midhunchakkaravarthy Janarthanan. "Utilizing IDS and IPS to Improve Cybersecurity Monitoring Process." Journal of Cyber Security and Risk Auditing 2025, no. 3 (2025): 77–88. https://doi.org/10.63180/jcsra.thestap.2025.3.10.
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Intrusion detection system (IDS) and intrusion prevention system (IPS) are crucial for protecting cyberattacks that target organizational information systems, IDS is focusing on detecting cyberattacks while IPS is focusing on preventing cyberattack. The research examines the limitations of IDS and IPS in detecting and preventing threats, highlighting that both systems rely on signature and anomaly-based detection methods. However, these detection techniques require significant enhancements, as current implementations in IDS and IPS may not effectively address all threats. The main objective of this study is to discover the limitation feature of IDS and IPS in detecting and preventing threats. The data collection and analysis are using a combination of quantitative and qualitative approaches, based on an in-depth review of research and review articles. The analysis shows that attackers can exploit information systems due to the absence of latest signatures and anomaly-based detection in intrusion detection systems (IDS) and intrusion prevention systems (IPS). The findings recommend that cybersecurity professionals should regularly update and verify both signature-based and anomaly-based detection mechanisms, as well as implement both network-based and host-based level to ensure that IDS and IPS can effectively detect and prevent threats in real time.
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Silalahi, Lukman Medriavin, and Andhika Kurniawan. "Analisis Keamanan Jaringan Menggunakan Intrusion Prevention System (Ips) Dengan Metode Traffic Behavior." Electrician : Jurnal Rekayasa dan Teknologi Elektro 17, no. 1 (2023): 71–76. http://dx.doi.org/10.23960/elc.v17n1.2296.
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Riset ini mengangkat masalah tentang celah keamanan jaringan untuk disusupi oleh peretas jaringan internet, diantaranya yang saat ini diteliti adalah Port Scanning, DDoS (Distribute Denial of Service), Bruteforce. Tujuan penelitian ini adalah mendeteksi setiap serangan yang terjadi dan melakukan blokir akses masuk ke server. Hipotesis riset ini adalah mendeteksi dan melakukan pencegahan terhadap serangan menggunakan default rules yang dimiliki oleh Suricata 6.0.4. Metode yang diusulkan adalah penelitian eksperimen yang bersifat kuantitatif untuk dapat mengamankan suatu sistem jaringan menggunakan Intrusion Prevention System (IPS) yang dikombinasikan antara fitur blocking dari Firewall dan fitur detection capabilities dari Intrusion Detection System (IDS) berdasarkan traffic behavior atau anomali yang ditemukan selama dalam pengamatan dan pengujian yang telah dilakukan. Perancangan sistem keamanan ini membutuhkan sistem jaringan yang sudah yang terpasang aplikasi pfSense yang memiliki service Suricata sebagai IPS. Hasil riset ini menunjukan bahwa IPS dapat melakukan deteksi dan blokir terhadap serangan Scanning Port, Bruteforce dengan 3 kali pengujian dan DDoS dengan pengujian selama durasi waktu 30 detik, 1 menit dan 3 menit.
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Zulmy Alhamri, Rinanza, Kunti Eliyen, and Agustono Heriadi. "PENGEMBANGAN APLIKASI REMOTE BERBASIS ANDROID UNTUK KONFIGURASI INTRUSION PREVENTION SYSTEM MEMANFATKAN INTERNET OF THINGS." Jurnal Mnemonic 6, no. 2 (2023): 135–48. http://dx.doi.org/10.36040/mnemonic.v6i2.6727.
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Router MikroTik mampu untuk dikonfigurasi sebagai Intrusion Prevention System (IPS) sehingga dapat menolak paket data yang memiliki perilaku sebagai serangan Port Scanning, Brute Force, dan Denial of Service. Dikembangkan aplikasi Android yang dapat melakukan kendali jarak jauh pada router MikroTik secara fleksibel dan efisien dengan bantuan aplikasi Agent berbasis web memanfaatkan library MikroTik API dan media penyimpanan cloud Firebase sehingga aplikasi bisa dijalankan secara Internet of Things (IoT). Terdapat enam tahapan meliputi pengumpulan data, analisis sistem, perancangan sistem, implementasi, pengujian dan pembuatan laporan. Analisis sistem menghasilkan fungsi meliputi admin dapat mengaktifkan aplikasi Agent, mengelola konfigurasi IPS Port Scanning, Brute Force, serta Denial of Service, melihat daftar IP penyerang dan memperoleh notifikasi serangan baru. Aplikasi Agent dikembangkan dengan Laravel memanfaatkan library RouterOSAPI untuk komunikasi API, vendor kreait untuk koneksi ke Firebase baik Firestore maupun Real-time Database, dan Javascript fungsi setInterval() agar aplikasi web berjalan otomatis. Sedangkan aplikasi remote Android dikembangkan dengan bahasa Kotlin menggunakan Android Studio. Berhasil dikembangkannya aplikasi remote berbasis Android untuk konfigurasi IPS dalam mencegah serangan Port Scanning, Brute Force, dan Denial of Service melalui Internet of Things. Hasil pengujian fungsional dilakukan dengan menguji aplikasi Android untuk dapat mengendalikan konfigurasi IPS secara remote oleh responden sebagai pengguna aplikasi dimana keberhasilan mencapai 91,67%. Sedangkan hasil pengujian kinerja konfigurasi IPS dilakukan dengan memberikan skenario serangan Port Scanning, Brute Force, serta Denial of Service pada router MikroTik dimana keberhasilan dalam bertahan mencapai 72.5%.
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Korcak, Michal, Jaroslav Lamer, and Frantisek Jakab. "Intrusion Prevention/Intrusion Detection System (IPS/IDS) for Wifi Networks." International journal of Computer Networks & Communications 6, no. 4 (2014): 77–89. http://dx.doi.org/10.5121/ijcnc.2014.6407.
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Wahyudi, Farid, and Listanto Tri Utomo. "Perancangan Security Network Intrusion Prevention System Pada PDTI Universitas Islam Raden Rahmat Malang." Edumatic: Jurnal Pendidikan Informatika 5, no. 1 (2021): 60–69. http://dx.doi.org/10.29408/edumatic.v5i1.3278.
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Security is very main in computer networks, where many devices are connected to each other to interact and exchange data without limits. Network security is also a very important issue to prioritize, one of which is to use an intrusion prevention system. At PDTI UNIRA there are often network security problems, one of which is that during the test season, the server experiences many intrusion problems. The purpose of this research is to develop a social science system based on the analysis at PDTI of Raden Rahmat Islamic University Malang. This research method uses a computer security development approach, namely the Intrusion Prevention System (IPS), by combining firewall engineering methods and Intrusion-Detection System (IDS). The result of this research is a technology that can be used to prevent attacks that will enter the local network checking and recording all data packets and recognizing sensor packets, when the attack has been identified, IPS will deny access (block) and record (log) all data packets. identified. So IPS acts as a firewall that will allow and block combined with IDS that can detect packets in detail. With a network security system, the Unira PDTI server is safer and can avoid intrusion.
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Crichigno, Jorge, Mahsa Pourvali, Farooq Shaikh, Ammar Rayes, Elias Bou-Harb, and Nasir Ghani. "Optimal Traffic Scheduling for Intrusion Prevention Systems." International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems 6, no. 2 (2017): 73. http://dx.doi.org/10.11601/ijates.v6i2.201.
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A major challenge for intrusion prevention system (IPS) sensors in today’s Internet is the amount of traffic these devices have to inspect. Hence this paper presents a linear program (LP) for traffic scheduling in multi-sensor environments that alleviates inspection loads at IPS sensors. The model discriminates traffic flows so that the amount of inspected suspicious traffic ismaximized. While the LP is not constrained to integral solutions, traffic belonging to a flow is mostly scheduled for inspection to a single sensor, which facilitates the collection of state information. An analysis of how the Simplex algorithm solves the model and numerical results demonstrate that state information can be preserved without imposing integral constraints. This benefitalso prevents the LP from becoming an integer LP, and this is essential for efficiently implementing the proposed model. The paper also shows that the ratio of the total number of flows integrally inspected by a single sensor to the total number of flows inspected in a multi-sensor environment depends upon theratio of IPS sensor capacity to flow traffic rate. Finally, some practical deployment observations are also presented.
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Gandhar, Abhishek, Prakhar Priyadarshi, Shashi Gandhar, S. B. Kumar, Arvind Rehalia, and Mohit Tiwari. "An Effective Deep Learning Model Design for Cyber Intrusion Prevention System." Indian Journal Of Science And Technology 18, no. 10 (2025): 811–15. https://doi.org/10.17485/ijst/v18i10.318.
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Objectives: The increasing frequency of cyber threats necessitates the advancement of Intrusion Prevention Systems (IPS). However, existing IPS models suffer from high false positive rates, inefficiencies in real-time detection, and suboptimal accuracy levels. Methods: This study presents a CNN-LSTM hybrid model optimized for real-time cyber intrusion detection. The CICIDS2018 dataset was utilized for training, incorporating feature selection, hyper-parameter tuning, and dropout-based regularization to improve efficiency and prevent over-fitting. Findings: The proposed system achieved an F1-score of 99.5%, significantly outperforming conventional methods. Additionally, the false positive rate was reduced by 18%, enhancing system reliability in cyber-security applications. Novelty: Unlike prior works, this study integrates optimized feature selection mechanisms with real-time sequence learning through CNN-LSTM, leading to higher detection accuracy, improved generalization, and reduced computational complexity. Keywords: Convolutional neural networks (CNNs), CICIDS2018, Deep Learning, Feature selection, Long Shortterm Memory Networks (LSTMs)
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Muhaimi, Abdul, I. Putu Hariyadi, and Akbar Juliansyah. "Analisa Penerapan Intrusion Prevention System (IPS) Berbasis Snort Sebagai Pengaman Server Internet Yang Terintegrasi Dengan Telegram." Jurnal Bumigora Information Technology (BITe) 1, no. 2 (2019): 167–76. http://dx.doi.org/10.30812/bite.v1i2.611.
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ABSTRAK
 Keamanan merupakan salah satu bagian yang sangat penting dalam Teknologi Informasi (TI) yang telah dimanfaatkan di berbagai bidang. Pemanfaatan TI dapat memperlancar operasional sehingga meningkatkan kualitas layanan. Namun di sisi lain apabila tidak dijaga keamanannya maka akan berdampak pada ketersediaan layanan. Setiap institusi atau lembaga harus memiliki pencegahan terhadap keterbukaan akses dari pihak yang tidak berhak. Peran pertahanan sistem pada umumnya terletak pada administrator sebagai pengelola jaringan yang memiliki akses penuh terhadap infrastruktur jaringan yang dibangunnya. Terdapat berbagai metode yang dihasilkan oleh beberapa peneliti yang telah menerapkan pengamanan terkait layanan pada server Internet salah satunya adalah Intrusion Prevention System (IPS). Sistem IPS yang diterapkan oleh peneliti terdahulu belum terintegrasi dengan telegram sehingga administrator system yang sedang berada di luar instansi atau perusahaan tidak dapat mengetahui ketika server mengalami serangan. Selain itu pemblokiran terhadap serangan masih dilakukan secara manual menggunakan IPTables sehingga memerlukan campur tangan administrator system. Berdasarkan permasalahan tersebut maka mendorong peneliti mengembangkan system IPS yang diintegrasikan dengan Telegram dan IPTables sehingga administrator system dapat memperoleh notifikasi ketika terjadi serangan kapan pun dan dimana pun. Selain itu system dapat secara otomatis melakukan pemblokiran serangan. Pada tahap analysis dilakukan pengumpulan data dan analisa data. Pada tahap desain dilakukan rancangan jaringan ujicoba, pengalamatan IP, perancangan alur kerja system dan kebutuhan perangkat keras dan lunak. Pada tahap simulation prototyping memuat tentang instalasi konfigurasi pada masing-masing perangkat, ujicoba dan analisa hasil ujicoba. Terdapat 5 skenario uji coba yang dilakukan meliputi Ftp Attack, Telnet Attack, Bruteforce Form Login menggunakan Hydra Attack, Remote File Incusion (RFI) Attack serta Http Bruteforce menggunakan Hydra Attack. Adapun kesimpulan dari penelitian ini adalah penerapan IPS berbasis Snort yang diintegrasikan dengan telegram serta IPTables maka server dapat mendeteksi serangan yang masuk.
 ABSTRACT
 Security is one very important part in Information Technology (IT) which has been utilized in various fields. Utilization of IT can facilitate operations so as to improve service quality. But on the other hand if it is not maintained its security will have an impact on the availability of services. Every institution or institution must have a prevention against open access from unauthorized parties. The role of the defense system in general lies with the administrator as a network manager who has full access to the network infrastructure that he built. There are various methods produced by several researchers who have implemented security-related services on an Internet server, one of which is the Intrusion Prevention System (IPS). The IPS system implemented by previous researchers has not been integrated with telegrams so that system administrators who are outside the agency or company cannot find out when the server has an attack. Besides blocking attacks is still done manually using IPTables so that it requires the intervention of a system administrator. Based on these problems, it encourages researchers to develop IPS systems that are integrated with Telegram and IPTables so that system administrators can get notifications when an attack occurs anytime and anywhere. In addition the system can automatically block attacks. In the analysis phase, data collection and data analysis are carried out. At the design stage, a trial network design, IP addressing, system workflow design and hardware and software requirements are carried out. At the simulation stage prototyping includes the configuration installation on each device, testing and analyzing the results of trials. There are 5 test scenarios conducted including Ftp Attack, Telnet Attack, Bruteforce Form Login using Hydra Attack, Remote File Incusion (RFI) Attack and Http Bruteforce using Hydra Attack. The conclusion of this study is the application of Snort-based IPS integrated with telegram and IPTables, the server can detect incoming attacks.
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Abhishek, Gandhar, Priyadarshi Prakhar, Gandhar Shashi, B. Kumar S, Rehalia Arvind, and Tiwari Mohit. "An Effective Deep Learning Model Design for Cyber Intrusion Prevention System." Indian Journal of Science and Technology 18, no. 10 (2025): 811–15. https://doi.org/10.17485/IJST/v18i10.318.
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Abstract <strong>Objectives:</strong> The increasing frequency of cyber threats necessitates the advancement of Intrusion Prevention Systems (IPS). However, existing IPS models suffer from high false positive rates, inefficiencies in real-time detection, and suboptimal accuracy levels. <strong>Methods:</strong> This study presents a CNN-LSTM hybrid model optimized for real-time cyber intrusion detection. The CICIDS2018 dataset was utilized for training, incorporating feature selection, hyper-parameter tuning, and dropout-based regularization to improve efficiency and prevent over-fitting. <strong>Findings:</strong> The proposed system achieved an F1-score of 99.5%, significantly outperforming conventional methods. Additionally, the false positive rate was reduced by 18%, enhancing system reliability in cyber-security applications. <strong>Novelty:</strong> Unlike prior works, this study integrates optimized feature selection mechanisms with real-time sequence learning through CNN-LSTM, leading to higher detection accuracy, improved generalization, and reduced computational complexity. <strong>Keywords:</strong> Convolutional neural networks (CNNs), CICIDS2018, Deep Learning, Feature selection, Long Short­term Memory Networks (LSTMs)
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Farhaoui, Yousef. "How to secure web servers by the intrusion prevention system (IPS)?" International Journal of Advanced Computer Research 6, no. 23 (2016): 65–71. http://dx.doi.org/10.19101/ijacr.2016.623028.
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Gupta, Manish, B. Chandra, and M. P. Gupta. "A framework of intelligent decision support system for Indian police." Journal of Enterprise Information Management 27, no. 5 (2014): 512–40. http://dx.doi.org/10.1108/jeim-10-2012-0073.
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Purpose – The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies. Design/methodology/approach – The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi-level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures. Findings – IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information. Research limitations/implications – The research in intelligent police information system can be enhanced with some important additional features which include web-base management system, geographical information system, mobile adhoc network technology, etc. Practical implications – IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively. Originality/value – The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.
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Aminanto, Alja, and Wiwin Sulistyo. "Simulasi Sistem Keamanan Jaringan Komputer Berbasis IPS Snort dan Honeypot Artilery." AITI 16, no. 2 (2020): 135–50. http://dx.doi.org/10.24246/aiti.v16i2.135-150.
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The Intrusion Prevention System (IPS) Snort is a server security System that can prevent attacks by examining and recording all data packets as well as recognizing packets with sensors, when the attack has been identified, IPS Snort will deny the access (block) and log of all data packets identified. However by using only IPS Snort which can only check and note the Allert attacks that are incoming in less sense to secure a server by collaborating with the other server's secure system in the sense of being able to make the network security of the server better. Honeypot Artillery chosen which works when there is a Hacker trying to penetrate through open ports can be detected as if hackers can break through the system, then Honeypot Artillery will provide information about who attackers and how the attacker could enter the Snort IPS system for later record in the database that can be viewed on the Web interface, Allert recorded on the experiment that has been done in the database as much as 9453 on TCP protocol as much as 9%, UDP as much as < 1%, and ICMP As much as 91%.
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Lee, Alan Y. P., Michael I. C. Wang, Chi-Hsiang Hung, and Charles H. P. Wen. "PS-IPS: Deploying Intrusion Prevention System with machine learning on programmable switch." Future Generation Computer Systems 152 (March 2024): 333–42. http://dx.doi.org/10.1016/j.future.2023.11.011.
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Barends, Julian Kevin, Favian Dewanta, and Nyoman Bogi Aditya Karna. "Perancangan dan Analisis Intrusion Prevention System Berbasis SNORT dan IPTABLES dengan Integrasi Honeypot pada Arsitektur Software Defined Network." MULTINETICS 7, no. 2 (2022): 163–76. http://dx.doi.org/10.32722/multinetics.v7i2.4276.
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Software Defined Network merupakan arsitektur jaringan yang memungkinkan jaringan dapat dikendalikan secara terpusat dengan memisahkan Control Plane dan Data Plane sehingga memudahkan dari sisi operator untuk mengelola jarignan secara konsisten. Oleh karena itu SDN dipercaya mampu menggantikan jaringan yang ada sekarang yang cenderung bersifat kaku. Namun terlepas dari kemampuan SDN tersebut, keamanan SDN masih menjadi perhatian utama. Pada jurnal ini akan dilakukan perancangan sistem IPS berbasis Snort dan IPTables yang diintegrasikan dengan Honeypot pada arsitektur jaringan Software Defined Network. IPS akan mendeteksi serangan berdasarkan rule yang diterapkan dan jika terdapat serangan maka IPS akan memberikan alert ke Controller yang kemudian Controller akan memerika database tersebut dan mengalihkan traffic serangan tersebut ke Honeypot. Hasil dari Tugas Akhir ini menunjukan bahwa tingkat akurasi memiliki hasil 99.87%, rata-rata kecepatan deteksi untuk serangan Port Scanning, Ping of Death, ICMP Flood dan TCP SYN Flood secara berturut-turut adalah 1.207 s, 1.045 s, 1.047 s, dan 1.101s. Sedangkan pada pengukura QoS menunjukan bahwa setelah serangan dialihkan, terdapat kenaikan nilai Throughput dan penurunan nilai Packet Loss.
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Khadafi, Shah, Budanis Dwi Meilani, and Samsul Arifin. "SISTEM KEAMANAN OPEN CLOUD COMPUTING MENGGUNAKAN IDS (INTRUSION DETECTION SYSTEM) DAN IPS (INTRUSION PREVENTION SYSTEM)." Jurnal IPTEK 21, no. 2 (2017): 67. http://dx.doi.org/10.31284/j.iptek.2017.v21i2.207.
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Kurniawan, Rifky, and Fajar Prakoso. "Implementasi Metode IPS (Intrusion Prevention System) dan IDS (Intrusion Detection System) untuk Meningkatkan Keamanan Jaringan." SENTINEL 3, no. 1 (2020): 231–42. http://dx.doi.org/10.56622/sentineljournal.v3i1.20.
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Intrusion Detection System (IDS) dapat didefinisikan sebagai kegiatan yang bersifat anomaly,incorrect, inappropriate yang terjadi di jaringan atau host. Dan IDS sendiri adalah sistemkeamanan yang bekerja bersama Firewall untuk mengatasi Intrusion. IDS mampu mendeteksipenyusup dan memberikan respon secara real time. Terdapat dua teknik yang digunakandalam IDS yaitu, NIDS (Network Based Intrusion Detection System) dan HIDS (Host BasedIntrusion Detection System). Pada percobaan kali ini IDS dibagun menggunakan perangkatlunak Snort. Snort merupakan Open Source Intrusion Detection System (IDS) yang digunakanuntuk pemantauan dan pencegahan terhadap gangguan pada jaringan komputer. Agarmempermudah administrator dalam melihat dan membaca hasil log dari setiap paket datayang masuk atau keluar maka menggunakan Basic Analysis and Security Engine (BASE). Padapercobaan ini PC Server menggunakan sistem operasi Linux Ubuntu 16.04 LTS. Pengujiandilakukan pada Local Area Network dengan topologi Star. Dimana hasil gangguan yangdisebabkan DoS dan Port Scanner dapat dikenali oleh Snort IDS dan menampilkan log secaralengkap, baik dari waktu, tanggal kejadian dan sumber IP Address dari pengganggu.
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Atmadji, Ery Setiyawan Jullev, Bekti Maryuni Susanto, and Rahardian Wiratama. "Pemanfaatan IPTables Sebagai Intrusion Detection System (IDS) dan Intrusion Prevention System (IPS) Pada Linux Server." Teknika 6, no. 1 (2017): 19–23. http://dx.doi.org/10.34148/teknika.v6i1.55.
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Keamanan jaringan menjadi hal yang penting untuk semua industri dan perusahaan untuk melindungi data dan informasi penting yang berada didalamnnya. Perlindungan keamanan dalam suatu jaringan umumnya berbasis pada keamanan transmisi data yang dibuat dan diaplikasikan untuk membantu mengamankan suatu jaringan tertentu. Untuk lebih mengoptimalkan pengambilan keputusan maka diperlukan sebuah mesin yang mampu berkolaborasi dengan database IDS maupun IPS, sehingga tipikal serangan yang sangat beragam dapat dipetakan dengan lebih optimal. Salah satu database yang mempunyai rule yang sudah ada adalah IPTABLES, hal ini dikarenakan pada IPTABLES terdapat fungsi firewall yang mampu menangani jenis serangan yang berlipat serta masif. Server yang akan digunakan adalah server dengan sistem operasi Linux. Sedangkan database serangan IDS yang digunakan adalah database KDD 99 yang sudah diakui sebagai salah satu database serangan yang sangat kompleks. Dengan pemanfaatan IPTABLES ini maka diharapkan keamanan server akan bisa dimonitor dengan lebih optimal. IPTABLES biasanya digunakan sebagai salah satu firewall yang digunakan pada server.
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Inda, Sari, Yamin Muh, and Fid Aksara LM. "SISTEM MONITORING SERANGAN JARINGAN KOMPUTER BERBASIS WEB SERVICE MENGGUNAKAN HONEYPOT SEBAGAI INTRUSION PREVENTION SYSTEM." semanTIK 5, no. 1 (2019): 35–44. https://doi.org/10.5281/zenodo.2651714.
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<strong><em>Abstract</em></strong> <em>Security is very important especially to maintain the integrity of data for internet service users. There are many ways to infiltrate computer networks, starting from just experimenting to trying to damage and steal important information on the server. One way to overcome this problem is by the existence of an attack prevention system or commonly referred to as the Intrusion Prevention System (IPS) so that an attack can not directly touch the data or files that others should not know.</em> <em>Honeypot</em><em> is a system that is deliberately sacrificed in order to be attacked to obtain information from the activities of the attacker and to know the methods used in attacking a system. The results of attacks on the system can be displayed in a monitoring system and can also be displayed through a web service. The results obtained from this study that the creation of a web service -based computer network attack monitoring system uses a honeypot as an IPS successfully implemented.</em> <em>Attacks that enter through TCP ports are 33.96%, UDP 33.96%, and ICMP 32.07%.</em>
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Tati Ernawati and Fikri Faiz Fadhlur Rachmat. "Keamanan Jaringan dengan Cowrie Honeypot dan Snort Inline-Mode sebagai Intrusion Prevention System." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 1 (2021): 180–86. http://dx.doi.org/10.29207/resti.v5i1.2825.
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Computer network systems have been designing to share resources. Sharing resources process, data security, and confidentiality are main issues in anticipating misuse of the access to information by unauthorized parties. The solution to anticipating these problems is the availability of a security system capable of handling various intruders who threaten the system and protect network resources. This study builds and analyzes the performance of computer network security using cowrie honeypot and snort inline-mode as an Intrusion Prevention System (IPS). The development process goes through the stages of analysis, design, implementation, and monitoring. The content analysis method has been using to explore the problems and requirements of the system built. The security system was build by configuring the IP address and network system devices (server, remote admin, client attacker). The test has been carrying out on 3 test parameters (confidentiality, availability, and integrity), comparison testing method has been using to test the integrity parameters. The test results indicate that the system functionality test for user needs have fulfilled, the results of the confidentiality test (83.3%), availability (93.3%), and the integrity of the inline-mode snort show faster response time (0.069 seconds on average) and more CPU resource usage efficient (0.04% average) than the cowrie honeypot. IPS snort inline-mode overall integrity parameter testing is more recommended for used network security systems than cowrie honeypots.
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Samsumar, Lalu Delsi, Bahtiar Imran, Muhamad Masjun Efendi, Rudi Muslim, Zumratul Muahidin, and Zaenul Mutaqin. "Optimalisasi Keamanan Web Server Ubuntu dengan Teknologi IPS Berbasis Iptables." JTERA (Jurnal Teknologi Rekayasa) 9, no. 2 (2024): 69. https://doi.org/10.31544/jtera.v9.i2.2024.69-76.
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Keamanan jaringan merupakan faktor krusial dalam melindungi data dan informasi penting dalam suatu organisasi. Salah satu metode untuk mengamankan web server adalah dengan menerapkan Intrusion Prevention System (IPS) berbasis iptables. Penelitian ini bertujuan untuk mengoptimalkan keamanan web server Ubuntu dengan menggunakan teknologi IPS berbasis iptables. Iptables berfungsi tidak hanya sebagai firewall, tetapi juga sebagai sistem deteksi dan pencegahan intrusi (IDS/IPS) yang efektif untuk melindungi server berbasis Linux. Dalam penelitian ini, Snort digunakan sebagai alat deteksi intrusi yang diintegrasikan dengan iptables untuk memantau dan memitigasi potensi serangan pada jaringan lokal. Metodologi penelitian ini mencakup analisis kebutuhan sistem, instalasi sistem operasi dan web server, serta konfigurasi iptables sebagai IPS untuk mendeteksi dan mencegah serangan yang mengancam integritas server. Pengujian dilakukan dengan mengidentifikasi kerentanannya dan menguji efektivitas implementasi IPS pada web server Ubuntu. Hasil penelitian menunjukkan bahwa iptables berhasil menjalankan fungsinya sebagai IPS dalam mengamankan web server dari serangan DDoS. Iptables efektif dalam memblokir serangan yang masuk ke dalam web server. Sistem ini juga berhasil mendeteksi serangan yang dilakukan menggunakan Snort yang berfungsi sebagai IDS. Snort mampu mendeteksi serangan yang masuk dan memberikan peringatan yang berguna dalam memperkuat lapisan keamanan pada web server.
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William, Rayco, Ikhwan Ruslianto, and Uray Ristian. "Implementation of Intrusion Prevention System (IPS) as a Website-Based Server Security System and Mobile Application." CESS (Journal of Computer Engineering, System and Science) 8, no. 1 (2023): 123. http://dx.doi.org/10.24114/cess.v8i1.40258.
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Server is a center for providing services and storing data in a computer network. A server is managed by server administrator who has a duty of monitoring security server. While on duty, there are deficiencies in detecting attacks, the slow information about the attacks, and how to handle attacks on the server. In this research, a server security system was created by implementing an Intrusion Prevention System (IPS) based on website and mobile applications. Attack detection focuses on ICMP and TCP port attacks with the latency time when the system responds to an attack is 99,89 ms (very good). The attack handling system was successfully carried out using Iptables against the attacker's IP that detected by the Suricata system through the website and mobile applications, to be given action which is divided into Drop, Reject and Accept. Administrators can quickly take the necessary precautions after receiving an automatic notification when the server is under attack via Telegram with an average speed is 3.41second. The ping attack, port scanning and ping of death (DoS) attacks resulted in an increase in the performance load on the local server with the initial conditions of CPU performance ranging from 10-19%, increasing when a ping attack occurred to 21,6%, memory 41,7%, and disk 19,6%. Port scanning increased by 85,9% CPU, memory 41,9%, and disk 20,3%. Ping of death increased CPU 90,4%, memory 42,9%, and disk 20,8%. Based on the tests that have been done, an excessive increase is found in the ping of death attack which results in server performance increasing to 90,4%, if the attack occurs for a long time then the server condition will be hang (damaged).
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LYUBENOVA, Simona, Milen PETROV та Adelina ALEKSIEVA - PETROVA. "А Graph Database Intrusion Detection and Prevention System". Eurasia Proceedings of Science Technology Engineering and Mathematics 29 (15 грудня 2024): 182–91. https://doi.org/10.55549/epstem.1566169.
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Network threats are perceived as a serious and current problem due to the presence of different types of attacks, the purpose of which is to penetrate the security of a certain system using vulnerabilities and fraud techniques. They can appear anywhere, making them more difficult to detect and prevent. The victims of such type of attacks are constantly increasing, resulting in great losses not only in financial terms, but also in breaches of data privacy and business processes. As a result, protecting confidential information from unpredictable attacks has become a pressing issue and a difficult task that would be impossible without the help of intrusion detection systems (IDS) and intrusion prevention systems (IPS). The goal of the paper is to propose and design general architecture and implement a prototype for protection of an existing network of devices by detecting and preventing threats through the extraction and analysis of information from the devices located in the network, with the necessary data being stored in a graph database offering the possibility of visualization. To implement device network protection, it is necessary to enable software tools that, based on certain rules, impose restrictions on devices on the network and prevent future malicious actions.
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Ding, Shijie, Zhiwei Zhang, and Jun Xie. "Network security defense model based on firewall and IPS." Journal of Intelligent & Fuzzy Systems 39, no. 6 (2020): 8961–69. http://dx.doi.org/10.3233/jifs-189294.
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With the spread of the COVID-19 epidemic, the government has put forward higher requirements for network security and reliability through the flow of network managers and the release of information. Traditional intrusion detection technology and firewall technology cannot effectively defend against DDoS attacks. This paper analyzes the principles and defects of intrusion detection system and firewall. In this paper, the architecture design of intrusion prevention system which integrates audit and network defense functions is proposed. The system optimizes the detection and analysis component of detecting attack behavior according to the special requirements of attack defense task, and adds the module of attack behavior characteristic analysis and defense strategy generation. The policy execution component uses a special defense engine to execute defense policies, providing the system with deep defense capabilities. Experiments show that the validity and reliability of the key modules in the proposed defense model meet the technical requirements. It has a certain reference value to improve the reliability of network management system under the influence of COVID-19 epidemic situation.
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Gómez Castaño, Julio César, Néstor Jaime Castaño Pérez, and Luis Carlos Correa Ortiz. "Sistemas de detección y prevención de intrusos." Ciencia e Ingeniería Neogranadina 33, no. 1 (2023): 75–86. http://dx.doi.org/10.18359/rcin.6534.
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Este trabajo presenta una propuesta de taxonomía experimental basada en código abierto para los Intrusion Detection System/Intrusion Prevention System (IDS/IPS), orientada a la industria 4.0, debido a las necesidades actuales de seguridad de la información en hogares y empresas. Con la transformación digital, el crecimiento exponencial del Internet de las Cosas (IoT, por sus siglasen inglés), las conexiones aInternet y el aumento de amenazas, aumentan los problemas de seguridad de los equipos, que pueden verse vulnerados por los ciberdelincuentes y ser utilizados como intermedio para atacar otros equipos de la red propia, de otras organizaciones o para formar su propio botnet con miras a ataques masivos controlados. Por ello, es necesario contar con IDS/IPS que contribuyan a mejorar su seguridad. En la taxonomía se describe la infraestructura tecnológica en hardware y software para disponer en un ambiente experimental y realizar pruebas en la implementación, administración, gestión e investigación de IDS/IPS de código abierto y comprender las reglas y las anomalías para la detección de intrusos, mediante la base de datos de firmas y la utilización algoritmos de aprendizaje automático.
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Lee, Hsiu-An, Hsin-Hua Kung, Yuarn-Jang Lee, et al. "Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study." JMIR Medical Informatics 8, no. 12 (2020): e20567. http://dx.doi.org/10.2196/20567.
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Background COVID-19 has affected more than 180 countries and is the first known pandemic to be caused by a new virus. COVID-19’s emergence and rapid spread is a global public health and economic crisis. However, investigations into the disease, patient-tracking mechanisms, and case report transmissions are both labor-intensive and slow. Objective The pandemic has overwhelmed health care systems, forcing hospitals and medical facilities to find effective ways to share data. This study aims to design a global infectious disease surveillance and case tracking system that can facilitate the detection and control of COVID-19. Methods The International Patient Summary (IPS; an electronic health record that contains essential health care information about a patient) was used. The IPS was designed to support the used case scenario for unplanned cross-border care. The design, scope, utility, and potential for reuse of the IPS for unplanned cross-border care make it suitable for situations like COVID-19. The Fast Healthcare Interoperability Resources confirmed that IPS data, which includes symptoms, therapies, medications, and laboratory data, can be efficiently transferred and exchanged on the system for easy access by physicians. To protect privacy, patient data are deidentified. All systems are protected by blockchain architecture, including data encryption, validation, and exchange of records. Results To achieve worldwide COVID-19 surveillance, a global infectious disease information exchange must be enacted. The COVID-19 surveillance system was designed based on blockchain architecture. The IPS was used to exchange case study information among physicians. After being verified, physicians can upload IPS files and receive IPS data from other global cases. The system includes a daily IPS uploading and enhancement plan, which covers real-time uploading through the interoperation of the clinic system, with the module based on the Open Application Programming Interface architecture. Through the treatment of different cases, drug treatments, and the exchange of treatment results, the disease spread can be controlled, and treatment methods can be funded. In the Infectious Disease Case Tracking module, we can track the moving paths of infectious disease cases. The location information recorded in the blockchain is used to check the locations of different cases. The Case Tracking module was established for the Centers for Disease Control and Prevention to track cases and prevent disease spread. Conclusions We created the IPS of infectious diseases for physicians treating patients with COVID-19. Our system can help health authorities respond quickly to the transmission and spread of unknown diseases, and provides a system for information retrieval on disease transmission. In addition, this system can help researchers form trials and analyze data from different countries. A common forum to facilitate the mutual sharing of experiences, best practices, therapies, useful medications, and clinical intervention outcomes from research in various countries could help control an unknown virus. This system could be an effective tool for global collaboration in evidence-based efforts to fight COVID-19.
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Iriyanto, Muhammad. "Perbandingan Berbeda Alat Keamanan Untuk Mendeteksi Risiko Dalam Jaringan." Jurnal Nasional Teknologi Komputer 2, no. 3 (2022): 107–13. http://dx.doi.org/10.61306/jnastek.v2i3.47.
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Today, maintaining network security is a significant challenge. Data that has crossed a network is not regarded as secure. There are many risks, including snipping, phishing, spyware, hacking, and spoofing. Various network threats were covered in this article. There are numerous open-source technologies available to defend against these attacks. This study has examined tools like Acunetix and Intrusion Prevention System (IPS).
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Rakhimov, Bakhtiyorjon Nematovich, and Alevtina Aleksandrovna Muradova. "HARDWARE AND SOFTWARE PROTECTION MEANS OF PROTECTION OF CYBER ATTACKS OF INTERNET OF THINGS DEVICES." RESEARCH AND EDUCATION 3, no. 4 (2024): 11–17. https://doi.org/10.5281/zenodo.11109048.
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<em>The article presents hardware and software protection against cyberattacks for Internet of Things devices. Methods of the Trusted Platform Module, hardware monitoring of microarchitecture and SIEM system events, architectures supporting ARM TrustZone and Intel Software Guard Extension (SGX), and a DDoS attack detection structure called BRAIN are presented. The detailed architecture of intrusion detection and prevention systems (IDS/IPS) is provided.</em>
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Gusrion, Deval, Silky Safira, Retno Devita, Ruri Hartika Zain, and Rini Sovia. "DESIGN OF PRIVATE CLOUD STORAGE USING SECURITY METHODS IDS AND IPS." Jurnal Ipteks Terapan 15, no. 4 (2021): 461–65. http://dx.doi.org/10.22216/jit.v15i4.725.
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Cloud computing is a form of technological progress that has developed along with the times, this has spurred the increasing use of the internet. By usingtechnology internet that is able to implement server a virtual, which has the aim of building a cloud computing server at the District Communications and Information Office. Padang Pariaman uses the Operating System (OS) Proxmox VE (Virtual Environment) 6.4. Cloud computing is able to provide storage services that can be used simultaneously. The results of this study produce a cloud computing server that implements a security system with themethods ids (intrusion detection system) and ips (intrusion prevention system)that are able to process data(storagestorage), use software simultaneously in the network, and use infrastructure within the scope of this research.network cloud computing at the District Communications and Information Office. Padang Pariaman using aservice model private cloud
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Awal, Hasri. "Implementasi Intrusion Detection Prevention System Sebagai Sistem Keamanan Jaringan Komputer Kejaksaan Negeri Pariaman Menggunkan Snort Dan Iptables Berbasis Linux." Jurnal Sains Informatika Terapan 2, no. 1 (2023): 38–44. http://dx.doi.org/10.62357/jsit.v2i1.184.
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Perkembangan jaringan komputer terus berlanjut, dalam skalabilitas, jumlah node, dan teknologi. Komputer yang terhubung ke jaringan berpotensi mengalami gangguan atau serangan. Maka dari itu keamanan jaringan sangat penting dalam sebuah sistem jaringan komputer untuk menghindari serangan dan melindungi jaringan komputer. Intrusion Detection System (IDS) dengan Snort yang diimplementasikan pada sistem operasi linux dapat melakukan pemantauan serangan DoS (Denial of Service) dan Port Scanning. Snort mode IDS akan memberi alert secara real-time sesuai dengan rules Snort yang diatur dalam local.rules. IPTables sebagai tools IPS akan menghentikan serangan/gangguan tersebut dengan rules IPTables yang diterapkan. Dalam penelitian ini dilakukan pengujian sistem Snort IDS, IPTables dan pengujian kualitas layanan server. Hasil pengujian Snort IDS dapat memberikan alert bahwa adanya serangan secara real-time. Hasil pengujian IPS dapat mengatasi serangan/gangguan yang masuk dengan memblokir alamat IP intruder. Pengujian kualitas layanan server setelah diterapkan IDPS nilai index yang diperoleh adalah 3,75 yang sebelumnya kualitas layanan server memiliki nilai index 2. Yang artinya IDPS mampu mengatasi serangan/gangguan yang masuk ke jaringan.
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Guo, Guangfeng, Junxing Zhang, and Zhanfei Ma. "Intrusion prevention with attack traceback and software-defined control plane for campus networks." Computer Science and Information Systems, no. 00 (2020): 49. http://dx.doi.org/10.2298/csis200206049g.
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As traditional networks, the software-defined campus network also suffers from intrusion attacks. Current solutions for intrusion prevention cannot meet the requirements of the campus network. Existing methods of attack traceback are either limited to specific protocols or incur high overhead. To protect the data center (DC) of the campus network from internal and external attacks, we propose an Intrusion Prevention System (IPS) based on the coordinated control between the detection engine, the attack traceback agent, and the software-defined control plane. Our solution includes a novel algorithm to infer the best switch port for defending different attacks of varied scales based on the inverse HSA (Header Space Analysis) and the global view of the software-defined controller. The proposed scheme can effectively and timely block the malicious traffic not only protecting victim hosts from attacks but also preventing the whole network from suffering unwanted transmission burden. The proposed IPS is deployed on the bypass of the DC switch and collects network traffic by port mirroring. Compared with the traditional serial deployment, the new design helps defend the DC internal attacks, reduce the probability of network congestion, and avoid the single point of failure. The experimental results show that the overhead of our IPS is very low, which enables it to meet the real-time requirements. The average defense time is between 10 and 14 ms for the data center internal attacks of different scales. For external attacks, the maximum defense time is about 76 ms for a large-scale network with 100 switches.
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Dawamsyach, Fazar, Ikhwan Ruslianto, and Uray Ristian. "Implementation of IPS (Intrusion Prevention System) Fail2ban on Server for DDoS and Brute Force Attacks." CESS (Journal of Computer Engineering, System and Science) 8, no. 1 (2023): 149. http://dx.doi.org/10.24114/cess.v8i1.40259.
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Server security is an important thing that must be considered so that the server can work well and serve users. Attacks on servers can threaten server performance and data security in it. According to the National Cyber and Crypto Agency 2020 report, ports 22 and 80 were the top ports with the most attacks. One of the attacks on port 22 is brute force and an attack on port 80 is Distributed Denial of Service (DDoS). To solve this problem, a study was conducted to implement fail2ban IPS (Intrusion Prevention System) to increase server security. The attacks tested focused on brute force attacks on port 22 and DDoS attacks on port 80 using the TCP protocol. The fail2ban system is equipped with a website interface and notifications via telegram. The test results show that DDoS attacks have more impact on CPU performance with the highest increase in CPU being 92%, while brute force attacks have more impact on server memory performance with the highest increase in memory by 100%. The increase in server performance results in slowed server performance. The system managed to prevent DDoS attacks with an average speed of 0.5 seconds while brute force attacks were 6.1 seconds. The system managed to prevent DDoS attacks with a total of 88 attacks and brute force attacks with a total of 864 attacks.
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Widiyanto, Wahyu Wijaya. "SIMRS Network Security Simulation Using Snort IDS and IPS Methods." Indonesian of Health Information Management Journal (INOHIM) 10, no. 1 (2022): 10–17. http://dx.doi.org/10.47007/inohim.v10i1.396.
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AbstractHospital information systems have an essential role in clinical and administrative services. This triggers an innovation that supports an integrated quality measurement data management system by integrating the Hospital Management Information System (SIMRS). SIMRS can be implemented locally or in the cloud, using the network to exchange data and information. Along with the current development of Information Technology, information security is very important, especially on a network connected to the internet. But what is unfortunate is that developments in the security system itself do not accompany the imbalance between each technological development. This study aims to overview techniques for securing network computers from various attacks through network security simulations. The research method used is using Snort as a detector to perform security on computer networks, while as a system for detecting and preventing intruders on computer network servers using the Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) methods. This study concludes that the IDS system with Snort simulated can detect attacks with the same average accuracy value of 99.97% and produce an average server response time value by good snort rules (1 client is 0.50 seconds, 2 clients are 0.32) seconds.Keywords: network security, snort, IDS, IPS AbstrakSistem informasi rumah sakit memiliki peran penting dalam pelayanan klinis dan administrasi. Hal ini memicu inovasi yang mendukung sistem pengelolaan data pengukuran mutu yang terintegrasi dengan mengintegrasikan Sistem Informasi Manajemen Rumah Sakit (SIMRS). Implementasi SIMRS dapat dilakukan secara lokal maupun cloud, keduanya menggunakan jaringan untuk bertukar data dan informasi. Seiring dengan perkembangan Teknologi Informasi saat ini, keamanan suatu informasi menjadi sangat penting terutama pada suatu jaringan yang terkoneksi dengan internet. Namun yang disayangkan, ketimpangan antara setiap perkembangan teknologi tersebut tidak dibarengi dengan perkembangan sistem keamanan itu sendiri. Penelitian ini bertujuan untuk memberikan gambaran tentang teknik pengamanan jaringan komputer dari berbagai jenis serangan melalui simulasi keamanan jaringan. Metode penelitian yang digunakan adalah menggunakan Snort sebagai pendeteksi untuk melakukan pengamanan pada jaringan komputer, sedangkan sebagai sistem untuk mendeteksi dan mencegah penyusup pada server jaringan komputer menggunakan metode Intrusion Detection Systems (IDS) dan Intrusion Prevention Systems (IPS). Kesimpulan dari penelitian ini adalah sistem IDS dengan simulasi Snort dapat mendeteksi serangan dengan nilai akurasi rata-rata yang sama yaitu 99,97%, dan menghasilkan nilai rata-rata waktu respon server dengan aturan snort yang baik (1 client adalah 0,50 detik, 2 client adalah 0,32) detik.Kata Kunci: keamanan jaringan, snort, IDS, IPS