Robust Wireless Localization to Attacks on Access Points
Trustworthy location information is important because it is a critical input to a wide variety of location-based applications. However, the localization infrastructure is vulnerable to physical attacks and consequently the localization results are affected. In this paper, the authors focus on achieving robust wireless localization when attacks are present on access points. They first investigate the effects of attacks on localization. They then derive an attack-resistant scheme that can be integrated with existing localization algorithms and are not algorithm-specific. Their attack-resistant scheme are based on K-means clustering analysis. They examined their approach using Received Signal Strength (RSS) in widely used lateration-based algorithms. They validated their method in the ORBIT testbed with an IEEE 802.11 (Wi-Fi) network.