Relevant bibliographies by topics / IP Spoofing attack

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'IP Spoofing attack'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "IP Spoofing attack"

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Alqurashi, Reem K., Ohoud S. Al-harthi, and Sabah M. Alzahrani. "Detection of IP Spoofing Attack." International Journal of Engineering Research and Technology 13, no. 10 (2020): 2736. http://dx.doi.org/10.37624/ijert/13.10.2020.2736-2741.

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N., D. Patel, Mehtre B.M., Wankar R., and Priyadarshi R. "Development of a Novel Methods for Detecting & Preventing the Spoofed attack Packets." International Journal of Microsystems and IoT 1, no. 2 (2023): 99–112. https://doi.org/10.5281/zenodo.8289269.

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IP-Spoofing is an attack that forges the source “IP- Address” to mislead the receiver about the sender, making it difficult to trace back. Existing IP-Spoofing prevention methods like Ingress/Egress filtering, and Reverse Path Forwarding have the following limitations: they filter only the IP Packets of the local network, limited logging capabilities, and work only for specific types of TCP/IP protocol attacks. This paper introduces BGP- ASE, an effective method called Border Gateway Protocol Anti-Spoofing Extension, designed to combat IP spoofing by successfully intercepting and preventing the transmission of fraudulent packets. The proposed mechanism is tested using emulation network environments consisting of Mininet, OpenFlow Switch, and POX Controller. The usage of random filter placement improves the performance for dropping attack packets ratio. BGP-ASE is more potent than Ingress/Egress and RPF filtering in dropping attack packets. In the BGP-ASE mechanism, only 30% of transit Autonomous Systems can filter greater than 90% of the malicious packets. BGP-ASE also has the following desirable properties - Initial-Benefits for early users, Incremental-Benefits for subsequent users, and effectiveness in partial deployment.
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Herman, Rusyadi Umar, and Agus Prasetyo. "Analysis of Address Resolution Protocol Poisoning Attacks on Mikrotik Routers Using Live Forensics Methods." International Journal of Engineering Business and Social Science 3, no. 4 (2025): 1–18. https://doi.org/10.58451/ijebss.v3i4.231.

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The rapid development of wireless technology has made network communication more accessible but also increasingly vulnerable to security threats. One of the major threats is the Man-in-the-Middle (MitM) Attack, particularly ARP Spoofing, which manipulates the Address Resolution Protocol (ARP) to intercept or alter network traffic. ARP Spoofing, also known as ARP Poisoning, allows attackers to associate incorrect MAC addresses with IP addresses, enabling unauthorized access and potential data interception. This research focuses on the detection and investigation of ARP Spoofing on MikroTik routers using live forensic methods. The study utilizes Wireshark as a primary tool to monitor ARP-based network activity and identify anomalies indicative of ARP Spoofing attacks. The National Institute of Standards and Technology (NIST) forensic framework, which includes Collection, Examination, Analysis, and Reporting, is employed as a methodology for analyzing forensic evidence. The research also incorporates a virtualized attack simulation environment using VirtualBox, where a PC Client acts as the target, an attacker PC executes an ARP Spoofing attack using Ettercap, and Wireshark captures network traffic for forensic examination. The simulation results reveal that an ARP Spoofing attack can successfully manipulate network traffic by altering ARP table entries. The attacker assumes the identity of IP Address 192.168.0.1 with MAC Address e8-cc-18-41-3f-fb, while the target’s identity is duplicated as 192.168.0.19 with MAC Address 08:00:27:15:4c:3c, as confirmed through Wireshark analysis and ARP table inspection using the command prompt. These findings emphasize the importance of implementing proactive security measures, such as Dynamic ARP Inspection (DAI), encryption protocols, and continuous network monitoring, to mitigate the risks associated with ARP Spoofing attacks.
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Veeraraghavan, Prakash, Dalal Hanna, and Eric Pardede. "NAT++: An Efficient Micro-NAT Architecture for Solving IP-Spoofing Attacks in a Corporate Network." Electronics 9, no. 9 (2020): 1510. http://dx.doi.org/10.3390/electronics9091510.

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The Internet Protocol (IP) version 4 (IPv4) has several known vulnerabilities. One of the important vulnerabilities is that the protocol does not validate the correctness of the source address carried in an IP packet. Users with malicious intentions may take advantage of this vulnerability and launch various attacks against a target host or a network. These attacks are popularly known as IP Address Spoofing attacks. One of the classical IP-spoofing attacks that cost several million dollars worldwide is the DNS-amplification attack. Currently, the availability of solutions is limited, proprietary, expensive, and requires expertise. The Internet is subjected to several other forms of amplification attacks happening every day. Even though IP-Spoofing is one of the well-researched areas since 2005, there is no holistic solution available to solve this problem from the gross-root. Also, every solution assumes that the attackers are always from outside networks. In this paper, we provide an efficient and scalable solution to solve the IP-Spoofing problem that arises from malicious or compromised inside hosts. We use a modified form of Network Address Translation (NAT) to build our solution framework. We call our framework as NAT++. The proposed infrastructure is robust, crypto-free, and easy to implement. Our simulation results have shown that the proposed NAT++ infrastructure does not consume more than the resources required by a simple NAT.
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Bhavani, Y., V. Janaki, and R. Sridevi. "Survey on Packet Marking Algorithms for IP Traceback." Oriental journal of computer science and technology 10, no. 2 (2017): 507–12. http://dx.doi.org/10.13005/ojcst/10.02.36.

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Distributed Denial of Service (DDoS) attack is an unavoidable attack. Among various attacks on the network, DDoS attacks are difficult to detect because of IP spoofing. The IP traceback is the only technique to identify DDoS attacks. The path affected by DDoS attack is identified by IP traceback approaches like Probabilistic Packet marking algorithm (PPM) and Deterministic Packet Marking algorithm (DPM). The PPM approach finds the complete attack path from victim to the source where as DPM finds only the source of the attacker. Using DPM algorithm finding the source of the attacker is difficult, if the router get compromised. Using PPM algorithm we construct the complete attack path, so the compromised router can be identified. In this paper, we review PPM and DPM techniques and compare the strengths and weaknesses of each proposal.
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Ashok, Bawge, and Joshi Dr.Harish. "Identifying ARP Spoofing Through Active Strategies." Research and Applications: Emerging Technologies 7, no. 2 (2025): 21–27. https://doi.org/10.5281/zenodo.15573429.

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<em>Due to its stateless nature and absence of authentication mechanisms to verify sender identity, the Address Resolution Protocol (ARP) has long been susceptible to spoofing attacks. ARP spoofing often serves as a gateway to more advanced attacks on local area networks, such as denial of service, man-in-the-middle, and session hijacking. Most existing detection methods adopt a passive approach by monitoring ARP traffic for anomalies in the IP-to-Ethernet address mappings. However, this strategy suffers from a delayed response time, often identifying an attack only after it has already caused harm. In this paper, we introduce an active detection technique for ARP spoofing. By injecting ARP request and TCP SYN packets into the network, we proactively probe for mismatches in address mappings. Compared to passive methods, our approach is faster, more intelligent, scalable, and reliable. Additionally, it enhances accuracy in identifying the true MAC-to-IP address associations during an attack scenario.</em>
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Raghu, Ram Chowdary Velevela. "A Systematic Review of IP Spoofing Attacks and Security Mechanisms in Modern Networks." Journal of Research and Review: Future Internet and Hyperconnectivity 1, no. 1 (2025): 31–39. https://doi.org/10.5281/zenodo.15111880.

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<em>IP address spoofing, commonly referred to as IP spoofing, involves generating Internet Protocol (IP) packets with a falsified source IP address to obscure the sender&rsquo;s identity or mimic another system. Just as criminals have historically used disguises, aliases, or caller ID blocking to mask their identities, cybercriminals adopt similar tactics in digital environments. IP spoofing serves as a widely used method of online deception, enabling attackers to gain unauthorized access to networks or systems by forging an IP address to make malicious communications appear as though they originate from a trusted source. In the subsequent pages of this report, we will examine the concepts of IP spoofing: why it is possible, how it works, types, what it is used for and how to identify spoofing defend against it.</em>
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Chai, Tze Uei, Hock Guan Goh, Soung-Yue Liew, and Vasaki Ponnusamy. "Protection Schemes for DDoS, ARP Spoofing, and IP Fragmentation Attacks in Smart Factory." Systems 11, no. 4 (2023): 211. http://dx.doi.org/10.3390/systems11040211.

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Industry Revolution 4.0 connects the Internet of Things (IoT) resource-constrained devices to Smart Factory solutions and delivers insights. As a result, a complex and dynamic network with a vulnerability inherited from the Internet becomes an attractive target for hackers to attack critical infrastructures. Therefore, this paper selects three potential attacks with the evaluation of the protections, namely (1) distributed denial of service (DDoS), (2) address resolution protocol (ARP) spoofing, and (3) Internet protocol (IP) fragmentation attacks. In the DDoS protection, the F1-score, accuracy, precision, and recall of the four-feature random forest with principal component analysis (RFPCA) model are 95.65%, 97%, 97.06%, and 94.29%, respectively. In the ARP spoofing, a batch processing method adopts the entropy calculated in the 20 s window with sensitivity to network abnormalities detection of various ARP spoofing scenarios involving victims’ traffic. The detected attacker’s MAC address is inserted in the block list to filter malicious traffic. The proposed protection in the IP fragmentation attack is implementing one-time code (OTC) and timestamp fields in the packet header. The simulation shows that the method detected 160 fake fragments from attackers among 2040 fragments.
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Nasser, Hiba Imad, and Mohammed Abdulridha Hussain. "Defending a wireless LAN against ARP spoofing attacks using a Raspberry Pi." Basrah Researches Sciences 48, no. 2 (2022): 123–35. http://dx.doi.org/10.56714/bjrs.48.2.12.

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The Address Resolution Protocol (ARP) is a protocol that converts Internet Protocol (IP) addresses to Media Access Control (MAC) addresses. Due to a security issue known as "Man in the Middle," identity theft is feasible using the ARP protocol. ARP spoofing is one of the weaknesses in wireless networks when an attacker effectively masquerades as a legitimate one. Spoofing attacks will reduce network performance and break several security measures. In networks that use MAC address-based filtering to verify clients, all a spoofer needs is an actual MAC address from an authorised client to gain an unfair advantage. The research recommends developing a security system recognising and preventing ARP spoofing attacks. This system detects ARP spoofing attempts by comparing the static MAC address of the original router to the router's MAC address in the ARP cache table. After detecting the attack using information collected from the router's MAC address in the ARP cache table, the system will conduct a de-authentication attack against the attacker's MAC address. If the attacker is disconnected from the WLAN, they cannot perform ARP spoofing attacks. This system is operated using a Raspberry Pi Model B. Most ARP spoofing attacks can be detected in 0.93 seconds, and responding takes 3.05 seconds.
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Mohammad Daud. "Detection of ARP Spoofing Attack by using ETTERCAP." Advances in Nonlinear Variational Inequalities 28, no. 4s (2025): 560–71. https://doi.org/10.52783/anvi.v28.3512.

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In our day-to-day life, we share or communicate over the internet in so many ways but to share or communicate we use some set of protocols so that we can send the information. ARP (Address Resolution Protocol) is one of them to communicate over the internet, but there are some chances of being spoofed by using the Address Resolution Protocol as attackers can steal your sensitive information through a Man-In-the-Middle attack. In this attack, a third person can be impersonated or spoofed the IP and we call it an IP spoofing attack. Therefore, to detect this attack we have used the Ettercap tool for detecting the ARP spoofing. In this detection method, we gave an approach in which Ettercap monitors the network and it is a modified Python-based script that is capable of sniffing the ARP packet transmission between the clients. Therefore, Ettercap is used for detecting ARP spoofing which is experimentally studied.
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Dissertations / Theses on the topic "IP Spoofing attack"

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Israr, Junaid. "Design of Lightweight Alternatives to Secure Border Gateway Protocol and Mitigate against Control and Data Plane Attacks." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22812.

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Border Gateway Protocol (BGP) is the backbone of routing infrastructure in the Internet. In its current form, it is an insecure protocol with potential for propagation of bogus routing information. There have been several high-profiles Internet outages linked to BGP in recent times. Several BGP security proposals have been presented in the literature; however, none has been adopted so far and, as a result, securing BGP remains an unsolved problem to this day. Among existing BGP security proposals, Secure BGP (S-BGP) is considered most comprehensive. However, it presents significant challenges in terms of number of signature verifications and deployment considerations. For it to provide comprehensive security guarantees, it requires that all Autonomous Systems (ASes) in the Internet to adopt the scheme and participate in signature additions and verifications in BGP messages. Among others, these challenges have prevented S-BGP from being deployed today. In this thesis, we present two novel lightweight security protocols, called Credible BGP (C-BGP) and Hybrid Cryptosystem BGP (HC-BGP), which rely on security mechanisms in S-BGP but are designed to address signature verification overhead and deployment challenges associated with S-BGP. We develop original and detailed analytical and simulation models to study performance of our proposals and demonstrate that the proposed schemes promise significant savings in terms of computational overhead and security performance in presence of malicious ASes in the network. We also study the impact of IP prefix hijacking on control plane as well as data plane. Specifically, we analyze the impact of bogus routing information on Inter-Domain Packet Filters and propose novel and simple extensions to existing BGP route selection algorithm to combat bogus routing information.
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Book chapters on the topic "IP Spoofing attack"

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Sunitha, T., V. Vijayashanthi, M. Navaneethakrishan, et al. "Key Observation to Prevent IP Spoofing in DDoS Attack on Cloud Environment." In Soft Computing: Theories and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9858-4_42.

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Meng, Yuxin, and Lam-for Kwok. "Enhancing List-Based Packet Filter Using IP Verification Mechanism against IP Spoofing Attack in Network Intrusion Detection." In Network and System Security. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34601-9_1.

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Moriyama, Eimatsu, Takeshi Takahashi, and Daisuke Miyamoto. "DNS-Based Defense against IP Spoofing Attacks." In Neural Information Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34500-5_71.

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Srinivasarao, T., N. Leelavathy, S. Kailash Chandra Sri Satya Dev, I. Om Ganesh, P. Sai Aditya, and P. Sai Krishna. "ARP and DNS Spoofing Detection with Attacker IP Capturing." In Algorithms in Advanced Artificial Intelligence. CRC Press, 2024. http://dx.doi.org/10.1201/9781003529231-54.

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L., Kavisankar, Chellappan C., and Poovammal E. "Against Spoofing Attacks in Network Layer." In Advances in Digital Crime, Forensics, and Cyber Terrorism. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0193-0.ch003.

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In the context of network security, a spoofing attack is a condition in which one person or a program successfully masquerades as another. This is done by providing counterfeit data with the malicious intention of gaining an illegitimate advantage. Spoofing attack which may be generated in various layer of Open Systems Interconnection model (OSI model) is discussed in this chapter. The chapter ends with discussing about the possible spoofing attacks in network layer and the relevant defense mechanism of the same. The detailed analysis and discussion is made on the spoofing attack over the Network layer because, Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) attacks more devastating while using network protocol like Internet Protocol (IP) which have become more of a threat than ever for the past few years.
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Verma, Karan. "IP-CHOCK Reference Detection and Prevention of Denial of Service (DoS) Attacks in Vehicular Ad-Hoc Network." In Research Anthology on Combating Denial-of-Service Attacks. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5348-0.ch030.

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Vehicular Ad-Hoc Network (VANET) is a subset of Mobile Ad-Hoc Network (MANET) and it is considered as a substantial component of Intelligent Transportation System (ITS). DoS attacks on VANET are varying and may be overwhelmed by VANET protocols, such as TCP or UDP flooding attacks. Different secure communications models can be used to detect and prevent IP spoofing DoS attacks, by which the attacks are committed by fraudulent and malicious nodes. In this chapter, an efficient detection method has been proposed to detect UDP flooding attacks, called Bloom-Filter-Based IP-CHOCK (BFICK). A prevention method using IP-CHOCK has also been proposed to prevent DoS, called Reference Broadcast Synchronization (RBS). In principle, the combined method is based on the IP-CHOCK filter concept of packets during an attack incident and with busy traffic condition. Fake identities from malicious vehicles can be analyzed with help of the existing reliable IP addresses. Beacon packets were exchanged periodically by all the vehicles to announce their presence and to forward it to the next node.
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Verma, Karan. "IP-CHOCK Reference Detection and Prevention of Denial of Service (DoS) Attacks in Vehicular Ad-Hoc Network." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0773-4.ch012.

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Vehicular Ad-Hoc Network (VANET) is a subset of Mobile Ad-Hoc Network (MANET) and it is considered as a substantial component of Intelligent Transportation System (ITS). DoS attacks on VANET are varying and may be overwhelmed by VANET protocols, such as TCP or UDP flooding attacks. Different secure communications models can be used to detect and prevent IP spoofing DoS attacks, by which the attacks are committed by fraudulent and malicious nodes. In this chapter, an efficient detection method has been proposed to detect UDP flooding attacks, called Bloom-Filter-Based IP-CHOCK (BFICK). A prevention method using IP-CHOCK has also been proposed to prevent DoS, called Reference Broadcast Synchronization (RBS). In principle, the combined method is based on the IP-CHOCK filter concept of packets during an attack incident and with busy traffic condition. Fake identities from malicious vehicles can be analyzed with help of the existing reliable IP addresses. Beacon packets were exchanged periodically by all the vehicles to announce their presence and to forward it to the next node.
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Bhardwaj, Akashdeep. "Solutions for DDoS Attacks on Cloud Environment." In New Age Cyber Threat Mitigation for Cloud Computing Networks. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815136111123010006.

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The internet has become the key driver for virtually every organization’s growth, brand awareness, and operational efficiency. Unfortunately, cyber terrorists and organized criminals know this fact too. Using a Distributed Denial of Service attack, they can deny corporates and end-users internet access, make the website go slow, and deny access to corporate networks and data, making them unable to service legitimate users. It is not just these that are vulnerable; DDoS attacks are diversions. Due to the increased attack volume, collateral damage is becoming a major cause of concern – packet loss, delays, and high latency for internet traffic of those whose network traffic traverses the WAN saturated by a DDOS attack. DDOS attacks disrupt services and distract security resources, while other attacks, like fraudulent transactions, are attempted. Adaptive DDOS attacks are prevalent – attackers attack traffic on the fly to avoid identification and confuse mitigation plans. Reflective and Amplification attacks are most common – leveraging misconfigured DNS, NTP, and other network resources by spoofing source IP addresses. The bitter reality is that for cloud computing to be useful, it has to be exposed to insecure WANs and the public internet. With Cloud services presence being advertised and the interfaces defined, unauthorized attacks would always look to target the services.
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Stevens, Dwayne, and David T. Green. "A Strategy for Enterprise VoIP Security." In Handbook of Research on Information Security and Assurance. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-855-0.ch041.

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Voice over Internet Protocol (VoIP) networks signal an evolution in telecommunications that is accelerating the convergence of the Internet and the public switched telephone network (PSTN). Offering decreased costs and other benefits, VoIP is poised to transform telecommunications and the organizations that use them. However, some consider VoIP a security nightmare, combining the worst vulnerabilities of IP networks and voice networks. DOS attacks, crash attacks, packet spoofing, buffer overflow attacks, spam over Internet telephony (SPIT), and word injection all pose threats to commercial enterprise networks and the mission critical operations that they support.
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Stevens, Dwayne, and David T. Green. "A Strategy for Enterprise VoIP Security." In Networking and Telecommunications. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-986-1.ch093.

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Voice over Internet Protocol (VoIP) networks signal an evolution in telecommunications that is accelerating the convergence of the Internet and the public switched telephone network (PSTN). Offering decreased costs and other benefits, VoIP is poised to transform telecommunications and the organizations that use them. However, some consider VoIP a security nightmare, combining the worst vulnerabilities of IP networks and voice networks. DOS attacks, crash attacks, packet spoofing, buffer overflow attacks, spam over Internet telephony (SPIT), and word injection all pose threats to commercial enterprise networks and the mission critical operations that they support.
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Conference papers on the topic "IP Spoofing attack"

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Kleptsov, M. Y., and M. V. Katina. "A METHOD FOR DETECTING AND PREVENTING ARP-SPOOFING ATTACKS ON A COMPUTER NETWORK." In Intelligent transport systems. Russian University of Transport, 2024. http://dx.doi.org/10.30932/9785002446094-2024-611-616.

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The ARP-spoofing (Address Resolution Protocol- spoofing) cyberattack nowadays poses a serious threat to the security of computer networks (CS). It is based on the abuse of the ARP protocol, which is responsible for matching IP addresses and physical MAC addresses in local networks. Using this type of attack, an attacker can intercept, redirect and even modify network traffic between devices, leading to serious negative consequences, such as reducing the confidentiality of transmitted data, introducing malware and spoofing network traffic. In the context of the constant development of information technology, the relevance and importance of this problem is increasing, especially for organizations and users of networks working in the logistics and transport. Transport has become a leader in the growth rate of fishing attacks. In this industry, by the end of 2023, the share of attacks of this type increased 2.4 times. This is the data of the BI.ZONE company. Based on the above, the main purpose of this article is, based on the analysis of methods of substitution and distortion of ARP records of the network infrastructure, to propose ways to protect against ARP spoofing, which are based on monitoring ARP records.
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Ma, Yunji. "An Effective Method for Defense against IP Spoofing Attack." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5601287.

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Mopari, Indrajeet B., S. G. Pukale, and M. L. Dhore. "Detection of DDoS attack and defense against IP spoofing." In the International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1523103.1523200.

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Mavani, Monali, and Krishna Asawa. "Experimental study of IP spoofing attack in 6LoWPAN network." In 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence (Confluence). IEEE, 2017. http://dx.doi.org/10.1109/confluence.2017.7943192.

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Mopari, I. B., S. G. Pukale, and M. L. Dhore. "Detection and defense against DDoS attack with IP spoofing." In 2008 International Conference on Computing, Communication and Networking (ICCCN). IEEE, 2008. http://dx.doi.org/10.1109/icccnet.2008.4787693.

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Agoni, Amakan Elisha, and Mqhele Dlodlo. "IP Spoofing Detection for Preventing DDoS Attack in Fog Computing." In 2018 Global Wireless Summit (GWS). IEEE, 2018. http://dx.doi.org/10.1109/gws.2018.8686626.

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Parekh, Varsha, and Saravanan M. "A Hybrid Approach to Protect Server from IP Spoofing Attack." In 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2022. http://dx.doi.org/10.1109/icses55317.2022.9914164.

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Shaw, Shashi, and Prasenjit Choudhury. "A new local area network attack through IP and MAC address spoofing." In 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA). IEEE, 2015. http://dx.doi.org/10.1109/icacea.2015.7164728.

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Osanaiye, Opeyemi A. "Short Paper: IP spoofing detection for preventing DDoS attack in Cloud Computing." In 2015 18th International Conference on Intelligence in Next Generation Networks (ICIN). IEEE, 2015. http://dx.doi.org/10.1109/icin.2015.7073820.

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Utomo, Suryo Pranoto, Bayu Pramudiono, and Andika Muharram. "Method to Uncover IP Spoofing Attack On Network Forensics Using NFAT And IP Correlation As Combined Approach." In 2019 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2019. http://dx.doi.org/10.1109/icoiact46704.2019.8938476.

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Reports on the topic "IP Spoofing attack"

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Ferguson, P., and D. Senie. Network Ingress Filtering: Defeating Denial of Service Attacks which employ IP Source Address Spoofing. RFC Editor, 1998. http://dx.doi.org/10.17487/rfc2267.

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Ferguson, P., and D. Senie. Network Ingress Filtering: Defeating Denial of Service Attacks which employ IP Source Address Spoofing. RFC Editor, 2000. http://dx.doi.org/10.17487/rfc2827.

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