Local Area Network Man-In-The-Middle Detection Through Address Resolution Protocol Analysis
Keywords:
Man-In-The-Middle, Local Area Network, ARP, DetectionAbstract
This article is intended to identify existing research on Man-In-The-Middle detection methods in Local Area Networks through ARP protocol analyses performed by artificial intelligences. The research has a qualitative nature and the systematic review was used as a methodological procedure. The main results showed that 31% of the articles focus on vulnerabilities of local networks, 31% aim at ARP poisoning methods, 19% study detectable methods through a Round Trip Time analysis and 19% of the articles researched methods of automating analyses through machine learning. The contribution to theory is to establish a path for further studies to be conducted based on this article. Regarding the contribution to the practice, it is to be demonstrated that there are effective forms MITM detection
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