A Mechanism for Detecting Session Hijacks in Wireless Networks

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Executive Summary

This paper proposes a mechanism for detecting session hijacking attacks in wireless networks. The proposed scheme is based on using a wavelet based analysis of the received signal strength. The authors first develop a model to describe the changes in the received signal strength of a wireless station during a session hijack, while the received signal is embedded in colored noise caused by fading wireless channels. An optimal filter is then designed for the purpose of detection. They show that using a Wavelet Transform (WT), the colored noise with complex Power Spectral Density (PSD) in authors' case can be approximately whitened.

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