Wi-Fi Deauthentication and Rogue Access Point Detection Using Wireless IDS Techniques

Wireless networks based on the IEEE 802.11 standard are widely deployed in residential, enterprise, educational, healthcare, and Internet of Things (IoT) environments due to their flexibility and ease of deployment. However, the lack of authentication and encryption mechanisms for several management frames makes Wi-Fi networks vulnerable to security threats such as deauthentication attacks and rogue access point (RAP) impersonation attacks. Deauthentication attacks disrupt network availability by forcing legitimate clients to disconnect, while rogue access points deceive users into connecting to malicious networks, leading to credential theft and traffic interception. This paper presents a lightweight and real-time Wireless Intrusion Detection System (WIDS) for detecting Wi-Fi deauthentication attacks and rogue access points using rule-based wireless traffic analysis. The proposed system utilizes Linuxbased monitoring nodes equipped with monitor-mode Wi-Fi adapters to capture and analyze IEEE 802.11 management frames. Detection techniques include threshold-based deauthentication monitoring, SSID–BSSID correlation analysis, Received Signal Strength Indicator (RSSI) anomaly detection, and Organizationally Unique Identifier (OUI) vendor verification. Experimental results demonstrate high detection accuracy, low processing latency, and effective real-time monitoring, making the framework suitable for enterprise, educational, and IoT wireless environments.