A novel method for the enhancement of Wi-Fi security software system

Abstract

This paper proposes a novel method for enhancing current Wi-Fi security software system analyzing user’s wireless access behavior. The system secures the user from security hazards during the pre-connection, connection, and after-connection phases. The system can analyze and plot the Wi-Fi environment. The methods of fog computing and sending fake traffic are employed to protect PSK from sniffing. In the post connection phase, it identifies De-auth attack in real time and footmarks the attacker. The software functionalities are implemented and all the malicious entities are displayed on the User Interface (UI). The experimental results have shown that the system has better performance when compared with current systems. The system can be used for the security of Wi-Fi users.