Machine Learning-based Intrusion Detection System Through WPA3 Protocol in Smart Contract System


Authors : Mohammad Sayduzzaman; Jarin Tasnim Tamanna; Muaz Rahman; Sadia Sazzad; Tawhidur Rahman

Volume/Issue : Volume 9 - 2024, Issue 3 - March

Google Scholar : https://tinyurl.com/25mn4wv6

Scribd : https://tinyurl.com/5x5ra46f

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR2149

Abstract : Nowadays, the Internet has become one of the basic human needs of professionals. With the massive number of devices, reliability, and security will be crucial in the coming ages. Routers are common to provide us with the internet. These routers can be operated in different modes. Some routers use the Wifi Security Protocol (WPA) or WPA2, and the Wifi Alliance introduced WPA3 on 25 June 2018. There are a lot of papers regarding Smart Contract (SC)–based IDS as well as Machine Learning-based IDS. Very few discuss combining SC and ML-based IDS for different authentication processes. In this paper, we will discuss how combining SC and ML plays a vital role in authentication. Also, we play the role of embedded IDS system so that existing vulnerabilities of the WPA2 and WPA3 can be reduced to 99.62%.

Keywords : Machine Learning, Smart Contract, WPA3 Protocol, Router, Cybersecurity, Data Analysis.

Nowadays, the Internet has become one of the basic human needs of professionals. With the massive number of devices, reliability, and security will be crucial in the coming ages. Routers are common to provide us with the internet. These routers can be operated in different modes. Some routers use the Wifi Security Protocol (WPA) or WPA2, and the Wifi Alliance introduced WPA3 on 25 June 2018. There are a lot of papers regarding Smart Contract (SC)–based IDS as well as Machine Learning-based IDS. Very few discuss combining SC and ML-based IDS for different authentication processes. In this paper, we will discuss how combining SC and ML plays a vital role in authentication. Also, we play the role of embedded IDS system so that existing vulnerabilities of the WPA2 and WPA3 can be reduced to 99.62%.

Keywords : Machine Learning, Smart Contract, WPA3 Protocol, Router, Cybersecurity, Data Analysis.

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