• Saran Sanakya A

Abstract— These days, WLANs, or wireless local area networks, are quite common due to their benefits, which include portability, flexibility in location, ease of maintenance, and easier installation. On the other hand, as wireless networking penetration has increased, malevolent actors looking to take advantage of weaknesses have also become more visible. By making networks unworkable, Attacks at the wireless connection layer, which go after the lowest levels of the OSI protocol stack, are quite dangerous. Specifically, the exposing of management frames makes wireless networks more vulnerable to these kinds of assaults. Inspired by these worries, this work aims to present a novel method for identifying and mitigating wireless connection layer threats. The main goal is to put in place a strong network security mechanism designed especially to stop these assaults while learning more about their unique characteristics. In order to do this, the research proposal proposes the Wireless Link Layer Attacks Detection Algorithm (WLLADA), which combines passive and active fingerprinting techniques. The focus is on efficiently detecting denial-of-service (DoS) assaults that masquerade. The suggested approach is put into practice utilizing Python network programming and the Kali Linux environment in a real-time configuration. By using this strategy, the research hopes to reduce worries about plagiarism and provide a complex and distinctive advancement in the realm of wireless security.

wireless, layer, WLAN Security, MAC Address, Link layer, wireless security, deauthentication

"Automated Wireless Attack Detection and Mitigation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.c566-c572, March-2024, Available :http://www.jetir.org/papers/JETIR2403269.pdf

"Automated Wireless Attack Detection and Mitigation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppc566-c572, March-2024, Available at : http://www.jetir.org/papers/JETIR2403269.pdf