MMCRAug 20, 2015

"The Good, The Bad And The Ugly": Evaluation of Wi-Fi Steganography

arXiv:1508.04978v221 citations
Originality Incremental advance
AI Analysis

This work addresses the need for better evaluation and detection of hidden information in Wi-Fi networks, which is incremental as it builds on existing steganography techniques.

The paper tackles the problem of evaluating network steganography algorithms by introducing a new method based on the 'moving observer' concept, applied to Wi-Fi steganography, and proposes a detection system called MoveSteg as a potential outcome.

In this paper we propose a new method for the evaluation of network steganography algorithms based on the new concept of "the moving observer". We considered three levels of undetectability named: "good", "bad", and "ugly". To illustrate this method we chose Wi-Fi steganography as a solid family of information hiding protocols. We present the state of the art in this area covering well-known hiding techniques for 802.11 networks. "The moving observer" approach could help not only in the evaluation of steganographic algorithms, but also might be a starting point for a new detection system of network steganography. The concept of a new detection system, called MoveSteg, is explained in detail.

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