User-side wi-fi hotspot spoofing detection on android-based devices

Abstract

Network spoofing is becoming a common attack in wireless networks. Similarly, there is a rapid growth of numbers in mobile devices in the working environments. The trends pose a huge threat to users since they become the prime target of attackers. More unfortunately, mobile devices have weak security measures due to their limited computational powers, making them an easy target for attackers. Current approaches to detect spoofing attacks focus on personal computers and rely on the network hosts’ capacity, leaving users with mobile devices at risk. Furthermore, some approaches on Android-based devices demand root privilege, which is highly discouraged. This research aims to study users' susceptibility to network spoofing attacks and propose a detection solution in Android-based devices. The presented approach considers the difference in security information and signal levels of an access point to determine its legitimacy. On the other hand, it tests the legitimacy of the captive portal with fake login credentials since, usually, fake captive portals do not authenticate users. The detection approaches are presented in three networks: (a) open networks, (b) closed networks and (c) networks with captive portals. As a departure from existing works, this solution does not require root access for detection, and it is developed for portability and better performance. Experimental results show that this approach can detect fake access points with an accuracy of 98% and 99% at an average of 24.64 and 7.78 milliseconds in open and closed networks, respectively. On the other hand, it can detect the existence of a fake captive portal at an accuracy of 88%. Despite achieving this performance, the presented detection approach does not cover APs that do not mimic legitimate APs. As an improvement, future work may focus on pcap files which is rich of information to be used in detection.