Physical Layer Anomaly Detection Via Adaptive Gaussian Mixture Model

Physical-layer spoofing attacks pose a critical threat to wireless localization systems by manipulating channel state information CSI. Detecting such attacks becomes particularly challenging when the attacker and the legitimate node are spatially proximate, as their CSI characteristics become...

Securing WiFi Fingerprint-Based Indoor Localization Systems from Malicious Access Points

WiFi fingerprint-based indoor localization schemes deliver highly accurate location data by matching the received signal strength indicator RSSI with an offline database using machine learning ML or deep learning DL models. However, over time, RSSI values degrade due to the malicious behavior of...