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1

Mondragón, Oscar, Andrés Felipe Mera Arcos, Christian Urcuqui, and Andrés Navarro Cadavid. "Security control for website defacement." Sistemas y Telemática 15, no. 41 (2017): 45–55. http://dx.doi.org/10.18046/syt.v15i41.2442.

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Cyber-attacks to websites are increasing steadily affecting the integrity and availability of information, so the implementation of safeguards to mitigate or reduce to acceptable levels the risks generated are necessary. Computer incidents produce economic and reputational impacts to different organizations. It has identified an increase in computer attacks on different organizations where one of them, and highly reputational impact, is the “Defacement” attack, which consists of unauthorized modification or alteration to the web sites using wordpress cms , affecting the integrity of informatio
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Bărhalescu, Mihaela, and Alexandra Raicu. "TYPES OF CYBERATTACKS TARGETING HR COMPANIES." Journal of Marine Technology and Environment, no. 2 (April 1, 2025): 17–20. https://doi.org/10.53464/jmte.01.2025.02.

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Cyberattacks on a human resources company's Wi-Fi networks can expose client data and internal systems, damaging the company's reputation. This article outlines the major attack types and the implemented security measures by the company against cyberattacks, in the context of Wi-Fi network protection. A scenario of an attack is presented, aiming to prevent and minimize cyber risks and attacks. The measures discussed lead to improved security of networks and systems, strengthened data protection, and the development of a system capable of facing the constantly evolving cyber threats. They reduc
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Bharathi, M., T. Aditya Sai Srinivas, D. Rohini, S. Shaankari, and M. Aishwarya. "Virtual Clouds, Real Threats: DDoS Attacks Reviewed and Mitigated." Journal of Computer Networks and Virtualization 2, no. 2 (2024): 10–15. http://dx.doi.org/10.48001/jocnv.2024.2210-15.

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In today's digital world, companies and organizations rely heavily on cloud computing for their everyday needs. Ensuring availability, confidentiality, accessibility, and integrity in the cloud is crucial. Any attack on cloud services can lead to serious consequences, including downtime, reputational damage, and financial loss. Among these threats, Distributed Denial of Service (DDoS) attacks are particularly concerning as they target cloud infrastructure with overwhelming traffic. This review examines various studies on cloud architecture and DDoS attack scenarios, exploring how these attacks
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Khaund, Bhaskardeep. "The Evolution of Denial-of-Service Attacks: From DoS to DDoS – Mechanisms, Impacts, and Defensive Strategies." European Journal of Computer Science and Information Technology 13, no. 47 (2025): 134–46. https://doi.org/10.37745/ejcsit.2013/vol13n47134146.

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Denial-of-Service attacks represent a significant and evolving threat within the cybersecurity landscape. These attacks have transformed from relatively simple single-source disruptions to sophisticated distributed assaults leveraging thousands of compromised devices. This evolution marks a substantial increase in attack complexity, scale, and resilience against traditional mitigation techniques. The fundamental mechanisms behind these attacks involve overwhelming target systems with excessive traffic or requests, rendering services unavailable to legitimate users. As attack methodologies have
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Sriprasadh K. "Impact of Cyber Attack over Business." Journal of Information Systems Engineering and Management 10, no. 42s (2025): 1179–82. https://doi.org/10.52783/jisem.v10i42s.8393.

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Business is the activity performed based on trust, without trust the business can’t be run in easy manner. Crimes are in the form of threats, the attackers’ attempts to steal the individual credentials and make use of that and steal the money or the credentials. The attack on business is in the form of data breaches, malware infections, phishing scams and denial of service attacks and identity theft. This attack and threats will cause the business in increasing production cost, operational disruptions due to vulnerable attack, chances of changing business practices , reputational damages and t
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McCarthy, Claudine. "Protect personal, institutional data from cyberattacks." Successful Registrar 23, no. 8 (2023): 6–8. http://dx.doi.org/10.1002/tsr.31186.

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BOSTON — If your institution falls prey to a cybersecurity attack, it risks not only potential reputational damage and financial loss but also lawsuits claiming breach‐of‐contract or failure to comply with privacy policies/laws.
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McCarthy, Claudine. "Protect personal, institutional data from cyberattacks." Campus Security Report 20, no. 6 (2023): 3–9. http://dx.doi.org/10.1002/casr.31159.

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BOSTON — If your institution falls prey to a cybersecurity attack, it risks not only potential reputational damage and financial loss but also lawsuits claiming breach of contract or failure to comply with privacy policies/laws.
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McCarthy, Claudine. "Protect personal, institutional data from cyberattacks." Enrollment Management Report 27, no. 7 (2023): 6–7. http://dx.doi.org/10.1002/emt.31132.

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BOSTON — If your institution falls prey to a cybersecurity attack, it risks not only potential reputational damage and financial loss but also lawsuits claiming breach‐of‐contract or failure to comply with privacy policies/laws.
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Mitropoulos, Dimitris, and Diomidis Spinellis. "Fatal injection: a survey of modern code injection attack countermeasures." PeerJ Computer Science 3 (November 27, 2017): e136. http://dx.doi.org/10.7717/peerj-cs.136.

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With a code injection attack (CIA) an attacker can introduce malicious code into a computer program or system that fails to properly encode data that comes from an untrusted source. A CIA can have different forms depending on the execution context of the application and the location of the programming flaw that leads to the attack. Currently, CIAs are considered one of the most damaging classes of application attacks since they can severely affect an organisation’s infrastructure and cause financial and reputational damage to it. In this paper we examine and categorize the countermeasures deve
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Sayan Basak, Mayur Jadhav, Suraj Choudhary, Pranjal Kadam, and Sheetal P. Gawande. "Web Application Security: A Survey." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 08 (2024): 2694–98. http://dx.doi.org/10.47392/irjaem.2024.0390.

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Web applications play a crucial role in modern digital interactions by supporting a wide range of online activities, from social networking to e-commerce. However, the widespread use of web applications has also made security flaws visible and important. This article explores the complex topic of web application security, examining common attack paths, their effects, and the need for strong security measures. Phishing, XSS, and SQL Injection are some common web application attacks that provide a serious risk of financial loss, reputational loss, and privacy violations. The study emphasizes the
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11

Jose, Ancy Sherin, Latha R. Nair, and Varghese Paul. "Towards Detecting Flooding DDOS Attacks Over Software Defined Networks Using Machine Learning Techniques." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 3837–65. http://dx.doi.org/10.47059/revistageintec.v11i4.2411.

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Distributed Denial of Service Attack (DDoS) has emerged as a major threat to cyber space. A DDoS attack aims at exhausting the resources of the victim causing financial and reputational damages to it. The availability of free software make launching of DDoS attacks easy. The difficulty in differentiating a DDoS traffic from a legitimate traffic burst such as a flash crowd makes DDoS difficult to be identified. A wide range of techniques have been used in conventional networks to detect and mitigate DDoS attacks. Though the advent of Software Defined Networking (SDN) makes a network easy to be
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Desai, Viraj, and Kavitha R. "Unveiling the Depths of Phishing: Understanding Tactics, Impacts, and Countermeasures." International Journal of Innovative Research in Science,Engineering and Technology 13, no. 05 (2024): 8596–600. http://dx.doi.org/10.15680/ijirset.2024.1305331.

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Phishing attacks have emerged as a pervasive threat in the cybersecurity landscape, exploiting human vulnerabilities to compromise sensitive information and perpetrate cybercrime. This paper provides a comprehensive examination of phishing attacks, encompassing their methods, prevalence, and impact on individuals and organizations. Through an in-depth literature review, we delve into the various types of phishing attacks, including email phishing, spear phishing, and pharming, elucidating their distinct characteristics and methodologies. We highlight the significant financial and reputational
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Cárdenas Rosero, Gabriela Elizabeth, Cathy Pamela Guevara Vega, and Pablo Landeta-López. "Website Protection: An Evaluation of the Web Application Firewall." Data and Metadata 4 (February 13, 2025): 190. https://doi.org/10.56294/dm2025190.

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Introduction: In recent years, a significant increase in attacks targeting web applications has been observed. These attacks compromise application integrity, disrupt services, and have devastating consequences regarding data loss, reputational damage, and financial costs. Objective: The objective was to evaluate the effectiveness of the Web Application Firewall (WAF) using the OWASP methodology to detect and neutralize attacks on the Universidad Técnica del Norte’s web server. Results: The results were to categorize the main types of attacks detected by the WAF, analyze the most frequent atta
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Nik Aein Koupaei, Alireza. "The Evolving Nature of Cyber Attacks and the Need for Proactive Defense Measures." Journal of Research in Engineering and Applied Sciences 8, no. 4 (2023): 634–39. http://dx.doi.org/10.46565/jreas.202384634-639.

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IA growing and pervasive threat in today’s interconnected digital landscape. Cyber-attacks refer to malicious activities carried out by individuals or groups to compromise computer systems, networks, or data for various purposes, including financial gain, espionage, or disruption of services. The research highlights the evolving nature of cyber-attacks, with attackers constantly adapting their tactics, techniques, and procedures to exploit vulnerabilities in technology and human behavior. The analysis emphasizes the wide range of cyber-attack types, such as phishing, malware infections, ransom
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Malik, Shariq Malik, and Muhammad Shairoze Malik Malik. "Man in the Middle - Hacker's Playground." International Journal for Electronic Crime Investigation 4, no. 1 (2020): 6. http://dx.doi.org/10.54692/ijeci.2020.040150.

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AbstractThere has been an increase in potential sources of threats to the security of information systems and dataof governments, companies and individuals in the present day, due to the growing number ofinformation systems types and devices, the expanding availability of freely-downloadable open sourcetools, the degree of interconnectivity made possible by the internet, and the concentration of more selfhelppower in the hands of individual end users. A numerically-insignificant number of the totalpopulation of information systems end users is made up of black hat users who have caused signifi
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AJIBOLA, Aminat, Innocent UJATA, Oluwasegun ADELAIYE, and Noorihan Abdul RAHMAN. "Mitigating Advanced Persistent Threats: A Comparative Evaluation Review." International Journal of Information Security and Cybercrime 8, no. 2 (2019): 9–20. http://dx.doi.org/10.19107/ijisc.2019.02.01.

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Cyber threats have been an issue of great concern since the advent of the information (computer and internet) age. But of greater concern is the most recent class of threats, known as Advanced Persistent Threats (APTs). It has drawn increasing attention all over the world, from researchers, and the industrial security sector. APTs are sophisticated cyber-attacks executed by sophisticated and well-resourced adversaries targeting specific information in companies and government. APT is a long-term campaign involving different steps. This form of attack if successful has significant implications t
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Manish Rana. "Fortifying Cyber Defenses: Leveraging Honeypots for Proactive Threat Mitigation and DoS Attack Prevention." Journal of Information Systems Engineering and Management 10, no. 19s (2025): 443–52. https://doi.org/10.52783/jisem.v10i19s.3056.

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As cyber threats become more sophisticated, organizations must adopt proactive defence mechanisms to safeguard their digital infrastructure. Distributed Denial of Service (DoS) attacks pose a significant risk by overwhelming networks, causing service disruptions, and leading to financial and reputational losses. Traditional security measures, such as firewalls and intrusion detection systems (IDS), often struggle to provide real-time threat intelligence and adaptive countermeasures. This study explores the use of honeypots as a proactive defence mechanism for threat mitigation and DoS attack p
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Muhammad, Hafsat, Olumide B. Longe, Abimbola Baale,, and U.-O. Ekpo Antai. "Towards the Development of a Machine Learning Enhanceed Framework for Honeypot and CAPTCHA Intrusion Detection Systems." Advances in Multidisciplinary and scientific Research Journal Publication 34 (December 30, 2022): 43–50. http://dx.doi.org/10.22624/aims/accrabespoke2022/v34p4.

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With the continuous prevalence of cyber-attacks, information safety has become very important to governments and organizations all over the world. Individuals, organizations and government suffers from financial and reputational damages consequent to cyber-attacks. Hence development of good cyber security technique became very important in the literature. Generally, traditional IDS are passive in such a way that they detect and report attacks based on predefined rules. Traditional IDS focus on how to detect attacks base on a given rule, i.e. either assigned or abnormality (Muhammad 2010). Othe
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Akash, V. S., P. Johnson Akshay, P. S. Alakanandha, and Reji C. Joy Dr. "Cybersecurity in the Digital Age: Benefits and Protective Measures." Recent Trends in Cyber Criminology Research 1, no. 1 (2025): 22–31. https://doi.org/10.5281/zenodo.15188459.

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<em>Cyber attacks are malicious attempts to compromise systems, disrupt operations, and steal data, posing significant risks to individuals, organizations, and governments. These attacks exploit vulnerabilities through malware, phishing, ransom ware, and DoS attacks, leading to financial losses, reputational damage, and security threats. Preventive measures, such as strong passwords, multifactor authentication, and encryption, enhance cybersecurity. Firewalls, IDSs, and IPSs play a crucial role in defending networks. Advanced techniques like SYN flood monitoring and DoS filtering mitigate thre
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K, Muthamil Sudar. "ADVANCED HYBRID GENERATIVE AI MODELS FOR MULTI-LAYERED DETECTION AND DEFENSE AGAINST DDOS ATTACKS." ICTACT Journal on Soft Computing 15, no. 3 (2025): 3618–24. https://doi.org/10.21917/ijsc.2025.0502.

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DDoS attacks remain a critical threat to organizations, disrupting services and inflicting serious financial and reputational damage. Traditional defenses in the form of rule-based systems and statistical models often cannot keep up with the sophistication and evolution of such attacks. This paper introduces a hybrid GenAI framework, designed to address these challenges by combining the adaptive capabilities of advanced generative models with the robustness of traditional rule-based systems. The proposed multi-layered architecture detects and analyzes anomalous network traffic patterns indicat
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Ramachandra, Bharathi, and T. P. Surekha. "Development and evaluation of a network intrusion detection system for DDoS attack detection using machine learning." Bulletin of Electrical Engineering and Informatics 13, no. 6 (2024): 4207–13. http://dx.doi.org/10.11591/eei.v13i6.7565.

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Distributed denial of service (DDoS) attacks involves disrupting a target system by flooding it with an immense volume of traffic originating from numerous sources. These attacks can disrupt online services, causing financial losses and reputational damage to various organizations. To combat this threat, the proposed network intrusion detection system (NIDS) utilizes machine learning (ML) algorithms trained on the KDDCup99 dataset. This dataset encompasses a diverse array of network traffic patterns, bounded by both regular traffic and various attack types. By training the NIDS on this dataset
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Nasir, Manir, Danlami Gabi, Salihu Alhassan Libata, and Mujtaba Haruna. "COUNTERMEASURE TO MAN-IN-THE-MIDDLE ATTACK BASED ON EMAIL HIJACKING USING TRY-HYBRID SUPERVISED LEARNING TECHNIQUES." FUDMA JOURNAL OF SCIENCES 9, no. 2 (2025): 66–74. https://doi.org/10.33003/fjs-2025-0902-3062.

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Email communication faces an escalating threat from Man-in-the-Middle (MitM) attacks, which compromise the security and integrity of emails, leading to the risk of data breaches, financial losses, and reputational harm. Traditional email security measures, such as SSL/TLS encryption and authentication protocols (e.g., SPF, DKIM, DMARC), have become increasingly insufficient in countering these advanced MitM attacks. The growing sophistication of MitM techniques, including SSL stripping, DNS spoofing, and session hijacking. This research proposes a countermeasure to MitM attacks based on email
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Dr.A.Shaji, George. "The Critical Role of Cybersecurity Insurance in an Era of Exponential Threats: A Review of Emerging Risk Realities and Policy Safeguards for Enterprise Resilience." Partners Universal International Research Journal (PUIRJ) 04, no. 01 (2025): 1–23. https://doi.org/10.5281/zenodo.15070295.

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Cyber threats are continuously evolving, making cybersecurity a critical concern for enterprises today. As cyberattacks grow in frequency and sophistication, cybersecurity insurance has become an essential investment for businesses seeking financial, reputational and continuity protections. This review explores the increasing need for cybersecurity insurance across industries. It examines the advantages insurance provides in covering response costs, as well as mitigating regulatory, legal, financial, and reputational damages resulting from cyber incidents. Emphasizing changing attack tendencie
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Adekoya, Olumayowa Adefowope, Hany F. Atlam, and Harjinder Singh Lallie. "Quantifying the Multidimensional Impact of Cyber Attacks in Digital Financial Services: A Systematic Literature Review." Sensors 25, no. 14 (2025): 4345. https://doi.org/10.3390/s25144345.

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The increasing frequency and sophistication of cyber attacks have posed significant challenges for digital financial organisations, particularly in quantifying their multidimensional impacts. These challenges are largely attributed to the lack of a standardised cyber impact taxonomy, limited data availability, and the evolving nature of technological threats. As a result, organisations often struggle with ineffective security investment prioritisation, reactive incident response planning, and the inability to implement robust, risk-based controls. Hence, an efficient and comprehensive approach
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Mala B A. "A study on Mitigation Strategies and Techniques to Reduce IoT Attacks through Cybersecurity and Block Chain Technology." Communications on Applied Nonlinear Analysis 32, no. 8s (2025): 392–413. https://doi.org/10.52783/cana.v32.3684.

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The Internet of Things (IoT) has completely changed depending on how we engage with technology by enabling automation, monitoring, and cross-domain data sharing by linking billions of devices globally. IoT device development has brought out new security challenges, as these devices frequently lack strong security safeguards, leaving them open to hacker attacks. Even after every attack is thoroughly examined by enlightening the methods that cybercriminals employ to take advantage of weaknesses in IoT devices, network attacks still exist. This paper addresses the reasons behind the attacks, whic
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Ojajuni, Opeyemi Peter, Yasser Ismail, and Albertha Lawson. "Distributed Denial-of-Service Attack Detection and Mitigation for the Internet of Things." International Journal of Technology Diffusion 11, no. 2 (2020): 18–32. http://dx.doi.org/10.4018/ijtd.2020040102.

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The Internet of Things (IoT) allows different devices with internet protocol (IP) address to be connected together via the internet to collect, provide, store, and exchange data amongst themselves. The distributed denial of service (DDoS) attack is one of the inevitable challenges which should be addressed in the development of the IoT. A DDoS attack has the potential to render a victim's services unavailable, which can then lead to additional challenges such as website outage, financial loss, reputational damage and loss of confidential information. In this article, a framework of the SDN con
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Abo Mhara, Mustafa Ahmed Othman, and Abdullah Abdulsalam Abdulqadir Abdulrahman. "Application and Software Security: Studying How to Secure Applications and Software from Vulnerabilities and Attacks." Stallion Journal for Multidisciplinary Associated Research Studies 1, no. 2 (2022): 66–74. https://doi.org/10.55544/sjmars.1.2.9.

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Application and software security are essential for protecting digital systems from a growing multitude of attacks. With the advancement of technology, application vulnerabilities have emerged as a main target for attackers, resulting in substantial financial, operational, and reputational harm. This research examines critical elements of application security, including prevalent vulnerabilities, attack routes, threat models, and the tools and technologies used to minimize risks. It emphasizes the need of incorporating security measures throughout the software development lifecycle (SDLC) and
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Behera, Bibhuti Bhusana, Rajani Kanta Mohanty, and Binod Kumar Pattanayak. "A Deep Fusion Model For Automated Industrial Iot Cyber Attack Detection And Mitigation." International Journal of Electrical and Electronics Research 10, no. 3 (2022): 604–13. http://dx.doi.org/10.37391/ijeer.100332.

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Industrial Internet of Things (IIoT) is a new field of study that connects digital devices and services to physical systems. The IIoT has been utilized to create massive amounts of data from various sensors, and it has run into several problems. The IIoT has been subjected to a variety of hacks, putting its ability to provide enterprises with flawless operations in jeopardy. Businesses suffer financial and reputational losses as a result of such threats, as well as the theft of critical data. As a result, numerous Network Intrusion Detection Systems (NIDSs) have been created to combat and safe
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Devaraj, Nandeesha Hallimysore, and Prasanna Bantiganahalli Thimappa. "An optimal machine learning-based algorithm for detecting phishing attacks using URL information." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 1 (2024): 631. http://dx.doi.org/10.11591/ijeecs.v36.i1.pp631-638.

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&lt;p&gt;In recent years, more websites have been collecting personal information for many processes, such as banks, internet connections, and government services. The public needs to provide all personal information, such as Aadhar, PAN, date of birth, and phone number. The personal and sensitive information is at risk of being used for phishing attacks through URL manipulation. In addition, a phishing attack cause’s financial and reputational loss. Hence protecting sensitive information by adapting required protection is extremely valuable for global security. To overcome this, we proposed a
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Wibowo, Budi, Luqman Hafiz, and Taufik Hidayat. "Unveiling the Cybercrime Ecosystem: Impact of Ransomware-as-a-Service (RaaS) in Indonesia." International Journal of Science Education and Cultural Studies 4, no. 1 (2025): 11–21. https://doi.org/10.58291/ijsecs.v4i1.320.

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This study explores the rise of Ransomware-as-a-Service (RaaS) in Indonesia’s cybercrime ecosystem, highlighting its role as a significant digital security threat. RaaS lowers the technical barriers to executing ransomware attacks, enabling individuals with minimal expertise to launch sophisticated cyberattacks. Analyzing data from 2020 to 2024, this study identified Indonesia as a hotspot for RaaS-driven cybercrime in Southeast Asia due to low cybersecurity awareness and weak regulatory frameworks. Key findings reveal that government administration, healthcare, and finance are the most freque
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Nandeesha, Hallimysore Devaraj Prasanna Bantiganahalli Thimappa. "An optimal machine learning-based algorithm for detecting phishing attacks using URL information." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 1 (2024): 631–38. https://doi.org/10.11591/ijeecs.v36.i1.pp631-638.

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In recent years, more websites have been collecting personal information for many processes, such as banks, internet connections, and government services. The public needs to provide all personal information, such as Aadhar, PAN, date of birth, and phone number. The personal and sensitive information is at risk of being used for phishing attacks through URL manipulation. In addition, a phishing attack cause&rsquo;s financial and reputational loss. Hence protecting sensitive information by adapting required protection is extremely valuable for global security. To overcome this, we proposed a me
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Jegede, Abayomi, Ayotinde Fadele, Monday Onoja, Gilbert Aimufua, and Ismaila Jesse Mazadu. "Trends and Future Directions in Automated Ransomware Detection." Journal of Computing and Social Informatics 1, no. 2 (2022): 17–41. http://dx.doi.org/10.33736/jcsi.4932.2022.

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Ransomware attacks constitute major security threats to personal and corporate data and information. A successful ransomware attack results in significant security and privacy violations with attendant financial losses and reputational damages to owners of computer-based resources. This makes it imperative for accurate, timely and reliable detection of ransomware. Several techniques have been proposed for ransomware detection and each technique has its strengths and limitations. The aim of this paper is to discuss the current trends and future directions in automated ransomware detection. The
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Kshirsagar, Pravin R., Hariprasath Manoharan, Hassan A. Alterazi, Nawaf Alhebaishi, Osama Bassam J. Rabie, and S. Shitharth. "Construal Attacks on Wireless Data Storage Applications and Unraveling Using Machine Learning Algorithm." Journal of Sensors 2022 (August 16, 2022): 1–13. http://dx.doi.org/10.1155/2022/9386989.

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Cloud services are a popular concept used to describe how internet-based services are delivered and maintained. The computer technology environment is being restructured with respect to information preservation. Data protection is of critical importance when storing huge volumes of information. In today’s cyber world, an intrusion is a significant security problem. Services, information, and services are all vulnerable to attack in the cloud due to its distributed structure of the cloud. Inappropriate behavior in the connection and in the host is detected using intrusion detection systems (IDS
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Khan, Maseera. "Healthcare Cybersecurity: A Mini Review on Recent Incidents and Preventive Strategies." SSN Journal of Management & Technology Research Communications 1, no. 1 (2024): 12–19. https://doi.org/10.21786/mntrc/1.1.3.

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Healthcare organizations are fast becoming a prime target of cyberattacks, that threat the sanctity and accessibility to patient data, medical histories, personal details as well financial information. The impact of cyberattacks in healthcare are wide-ranging from ransomware attacks, phishing attack and data breaches. These attacks lead to severe disruption not only to organizations but to patients and stakeholders such as data losses, financial costs, operational disruption, reputational damage. Furthermore, healthcare organizations face the extra challenge of complying with strict regulatory
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Maltseva, I., Y. Chernysh, and Y. Protsyuk. "Development of algorithms for early detection of cyberattacks on networks using machine learning." Communication, informatization and cybersecurity systems and technologies 1, no. 6 (2024): 105–15. https://doi.org/10.58254/viti.6.2024.08.105.

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Critical infrastructure protection and national security are enhanced by the security and reliability of networks. Various types of information circulate on these networks, ranging in classification from open to closed. The consequences of cyberattacks on these networks can be severe, including reputational damage, financial loss, operational disruption and data leakage. Traditional security methods, such as firewalls and anti-virus software, are becoming less effective against modern and ever-changing cyber threats. As a result, powerful network intrusion detection systems (IDS) have become i
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Demirol, Doygun, Resul Das, and Davut Hanbay. "A Novel Approach for Cyber Threat Analysis Systems Using BERT Model from Cyber Threat Intelligence Data." Symmetry 17, no. 4 (2025): 587. https://doi.org/10.3390/sym17040587.

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As today’s cybersecurity environment is becoming increasingly complex, it is crucial to analyse threats quickly and effectively. A delayed response or lack of foresight can lead to data loss, reputational damage, and operational disruptions. Therefore, developing methods that can rapidly extract valuable threat intelligence is a critical need to strengthen defence strategies and minimise potential damage. This paper presents an innovative approach that integrates knowledge graphs and a fine-tuned BERT-based model to analyse cyber threat intelligence (CTI) data. The proposed system extracts cyb
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Besenyő, Janos, and Attila Máté Kovács. "Healthcare Cybersecurity Threat Context and Mitigation Opportunities." Security science journal 4, no. 1 (2023): 83–101. http://dx.doi.org/10.37458/ssj.4.1.6.

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With the rapid increase in cybersecurity incidents around the globe, no business or industry is hidden from cybercriminals' crosshairs. Cyber-attacks are evolving and becoming more complex each day, causing much damage to different financial and reputational sectors. The health sector (including healthcare technology) is increasingly digitized and continues to offer life-critical services. It continues to improve diagnosis, treatment, and patient care with state-of-the-art technologies. However, cybercriminals continue to exploit vulnerabilities and exfiltrate confidential patient data and oth
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Zong, Yue, Yuechao Wu, Yuanlin Luo, Han Xu, Wenjian Hu, and Yao Yu. "ReIPS: A Secure Cloud-Based Reputation Evaluation System for IoT-Enabled Pumped Storage Power Stations." Sensors 23, no. 12 (2023): 5620. http://dx.doi.org/10.3390/s23125620.

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Reputation evaluation is an effective measure for maintaining secure Internet of Things (IoT) ecosystems, but there are still several challenges when applied in IoT-enabled pumped storage power stations (PSPSs), such as the limited resources of intelligent inspection devices and the threat of single-point and collusion attacks. To address these challenges, in this paper we present ReIPS, a secure cloud-based reputation evaluation system designed to manage intelligent inspection devices’ reputations in IoT-enabled PSPSs. Our ReIPS incorporates a resource-rich cloud platform to collect various r
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Lakshmikanthan, Govindarajan, and Sreejith Sreekandan Nair. "Global Fortification - Unifying Global DDoS Defense." International Journal of Innovative Research in Computer and Communication Engineering 11, no. 06 (2023): 8922–30. https://doi.org/10.15680/ijircce.2023.1106081.

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Financial sector is enduring the painful effects of millions of dollars spent each month to combat dangerous DDoS attacks on bank services. Sometimes these attackers cloud the websites of banks to such an extent that critical services have to be halted, resulting in huge losses and reputational damage to the Company (Aljuhani, 2021). In this work, we demonstrate an artificial intelligence-based approach that detects and counteracts DDoS attacks aimed specifically at bank websites. Ensuring a high level of service for DDoS - attacked websites, this system helps to reduce financial loss due to s
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J, Balachandar. "DDos Protection System for Cloud Architecture and Tools with the Help AWS-(WAF)." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3835–40. https://doi.org/10.22214/ijraset.2025.68845.

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In An Era Where Digital Connectivity Underpins Nearly Every Facet Of Modern Enterprise, Distributed Denial Of Service (Ddos) Attacks Have Emerged As A Formidable Threat To The Continuity And Dependability Of Online Platforms. These Attacks, Characterized By The Overwhelming Of Targeted Systems With A Flood Of Malicious Traffic, Can Result In Significant Downtime, Financial Loss, And Reputational Damage. With A Growing Number Of Businesses Transitioning Their Infrastructure To The Cloud, Safeguarding These Environments Against Such Disruptive Events Has Become A Strategic Imperative. Amazon Web
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Pravylo, Valerii, and Yevhenii Averkiiev. "ANALYSING MALICIOUS SOFTWARE SUPPORTING DDOS ATTACKS ON IOT NETWORKS." Information and Telecommunication Sciences, no. 1 (June 28, 2024): 50–54. http://dx.doi.org/10.20535/2411-2976.12024.50-54.

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Background. With the proliferation of Internet of Things (IoT) networks in the digital age, the risk of cyberattacks, especially DDoS attacks, is also increasing. IoT devices such as smart refrigerators, thermostats, webcams and other Internet-connected home appliances are being targeted by attackers who can use them as part of a botnet to conduct DDoS attacks. These devices often have inadequate network security and are rarely updated, making them vulnerable. DDoS attacks can result in significant losses such as lost revenue, reputational damage and costs to restore services. So, the vulnerab
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Aksoy, Ahmet, Luis Valle, and Gorkem Kar. "Automated Network Incident Identification through Genetic Algorithm-Driven Feature Selection." Electronics 13, no. 2 (2024): 293. http://dx.doi.org/10.3390/electronics13020293.

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The cybersecurity landscape presents daunting challenges, particularly in the face of Denial of Service (DoS) attacks such as DoS Http Unbearable Load King (HULK) attacks and DoS GoldenEye attacks. These malicious tactics are designed to disrupt critical services by overwhelming web servers with malicious requests. In contrast to DoS attacks, there exists nefarious Operating System (OS) scanning, which exploits vulnerabilities in target systems. To provide further context, it is essential to clarify that NMAP, a widely utilized tool for identifying host OSes and vulnerabilities, is not inheren
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Dr.A.Shaji, George, Dr.T.Baskar, and Srikaanth Dr.P.Balaji. "Cyber Threats to Critical Infrastructure: Assessing Vulnerabilities Across Key Sectors." Partners Universal International Innovation Journal (PUIIJ) 02, no. 01 (2024): 51–75. https://doi.org/10.5281/zenodo.10639463.

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This paper examines the growing threat of cyberattacks on critical infrastructure across key industries such as manufacturing, healthcare, finance, energy, and retail. With cyberattacks rapidly increasing in scale, sophistication, and impact, vital systems and sensitive data are at risk. The paper provides a comparative framework to assess the cyber vulnerability of major sectors based on factors such as adoption of new technologies, presence of legacy systems, monetary and safety implications of breaches, and value of compromised data. An analysis of manufacturing finds that while digital tra
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Cikambasi, Ciza Lukogo, Lawrence Mwenda Muriira, and Robert Mutua Murungi. "Deep Learning Network Intrusion Detection with the Conv1d-Lstm Model: Integrating CNN and LSTM For Superior Performance." International Journal of Professional Practice 12, no. 4 (2024): 41–49. https://doi.org/10.71274/ijpp.v12i4.475.

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Increased cases of cyber-attack and the rising levels of sophistication presents a significant threat to corporate networks, resulting in potential data breaches, financial losses, and reputational harm. Traditional Intrusion Detection Systems, which rely on predefined signatures and rules, have proven inadequate due to high false positive and false negative rates. This study introduces an innovative AI-based intrusion detection model to enhance corporate network security leveraging on deep learning techniques. The objective was to propose a Conv1d-LSTM Model, integrating convolutional neural
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Baldissera, Lisa. "Weepers I, II, III." Public 31, no. 61 (2020): 286–301. http://dx.doi.org/10.1386/public_00034_7.

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Weepers I, II, III is a ficto-critical approach to the topic of hospitality, arising from the xacerbating conditions of academic, curatorial and institutional care. Ficto-criticism sidesteps the constraints of non-disclosure agreements and the strictures of the reputational economy, to instead posit a dreaming vision of colliding worlds and meanings.Weepers I, II, III, considers hospitality in three related short fiction works which address the figure of the academic curator: one is an exposition of the linked codes/spheres of migration/contemporary art as it relates to asylum, emancipation an
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Dzięgielewska, Olga. "Anonymization, tokenization, encryption. How to recover unrecoverable data." Computer Science and Mathematical Modelling, no. 6/2017 (January 30, 2018): 9–13. http://dx.doi.org/10.5604/01.3001.0010.8235.

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The data privacy is currently vastly commented topic among all the organizations which process personal data due to the introduction of the European Union’s General Data Protection Regulation. Existing methods of data protection are believed to be sufficient as they meet the risk-based approach requirements in every mature organization, yet the number of publicly known data breaches confirms that this assumption is false. The aftermath of such incidents in countless cases prove that the risk-based approach failed as the reputational and financial consequences by far exceed the original estimat
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Abdul-waliyyu Bello, Idris Wonuola, Callistus Obunadike, Anastesia Izundu, and Jacinta Izundu. "Assessing the impact of cybersecurity incidents on financial losses and user exposure in the global financial sector (2015-2024)." International Journal of Science and Research Archive 16, no. 1 (2025): 489–504. https://doi.org/10.30574/ijsra.2025.16.1.2037.

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This study investigates the impact of cybersecurity incidents on financial losses and user exposure in the global financial sector, analyzing data from 2015 to 2024. The study utilizes machine learning models, specifically Random Forest and XGBoost, to predict the extent of financial damage and the number of affected users based on various cybersecurity incident characteristics, including attack type, source, and resolution time. The findings indicate that XGBoost outperforms Random Forest, with higher predictive accuracy (R² = 0.74) and lower error metrics (RMSE = 14.52, MAE = 6.08). Key feat
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Alshahrani, Hani, Attiya Khan, Muhammad Rizwan, Mana Saleh Al Reshan, Adel Sulaiman, and Asadullah Shaikh. "Intrusion Detection Framework for Industrial Internet of Things Using Software Defined Network." Sustainability 15, no. 11 (2023): 9001. http://dx.doi.org/10.3390/su15119001.

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The Industrial Internet of Things (IIoT) refers to the employment of the Internet of Things in industrial management, where a substantial number of machines and devices are linked and synchronized with the help of software programs and third platforms to improve the overall productivity. The acquisition of the industrial IoT provides benefits that range from automation and optimization to eliminating manual processes and improving overall efficiencies, but security remains to be forethought. The absence of reliable security mechanisms and the magnitude of security features are significant obst
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Wong, Kok-Seng, and Myung Ho Kim. "Privacy Protection for Data-Driven Smart Manufacturing Systems." International Journal of Web Services Research 14, no. 3 (2017): 17–32. http://dx.doi.org/10.4018/ijwsr.2017070102.

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The Industrial Internet of Things (IIoT) is a new industrial ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine-human collaboration to improve productivity, efficiency and reliability. The integration of industry and IoT creates various attack surfaces and new opportunities for data breaches. In the IIoT context, it will often be the case that data is considered sensitive. This is because data will encapsulate various aspects of industrial operation, including highly sensitive information about products, business strategies, and companies. T
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Ray, Rakesh Kumar. "The Impact of Data Breach on Reputed Companies." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 3578–83. http://dx.doi.org/10.22214/ijraset.2022.45819.

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Abstract: We'll come to digital India we the Indians are at the top position in internet usage at the same time India is ranked third among list of countries globally where most of the threats were detected &amp;second globally when it comes to spam and phishing (misleading emails, weblink etc. A data breach is the planned or inadvertent disclosure of confidential information to unauthorized parties. The impact of cyber-attack on a Company is much higherthan the impact on an individual.Data leakage poses serious threats to companies, including significant reputational damage and financial loss
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