Effect of Wi-Fi Access Points Spoofing on Fingerprinting Localization

The paper deals with spoofing signals from Wi-Fi access points and evaluates its impact on fingerprinting localization systems. In the localization system implementation of the KNN (K-Nearest Neighbours) localization algorithm is assumed. The experiments were performed using the UJIIndoorLoc dataset, which covers a relatively large area with multiple buildings. Two different scenarios of AP spoofing were assumed, and the testing dataset was affected accordingly. Based on the achieved results it can be concluded that spoofing of APs has an impact on localization performance.