Predicting ARP spoofing with Machine Learning

Author:

Usmani Mehak1,Anwar Misbah1,Farooq Komal1,Ahmed Ghufran1,Siddiqui Shahbaz1

Affiliation:

1. FAST National University of Computer & Emerging Sciences,Department of Computer Science,Karachi,Pakistan

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Kitsune Dataset Analysis via BigData and Deep Learning Techniques;2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT);2024-05-13

2. Mitigate the Man-in-the-Middle attack by the use of Machine Learning Techniques: A Review;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

3. Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network;International Journal of Information Security;2024-04-12

4. Detection and Prevention of Poisoning Targets with ARP Cache using Scapy;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

5. Deep Learning based framework for dynamic Detection and Mitigation of ARP Spoofing attacks;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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