Detecting Wireless Steganography With Wavelet Analysis

Abstract

In wireless communications, information is transmitted through a modulated waveform according to the associated modulation technique. However, there has been growing research to transmit information covertly by modulating waveforms further while pretending to be a normal transmission. Modulation-based wireless steganography techniques cause malicious information leakage without being aware of it by nearby devices. In this letter, we propose a detection scheme based on wavelet analysis with various well-known wavelets (e.g., Haar, Morlet, Shannon) to distinguish effectively between the primary channel and a channel created from the modulation-based technique. Practical experiments show that the proposed scheme can detect the modulation-based techniques at least with 93.25% accuracy under most circumstances.