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Detecting Wireless Steganography With Wavelet Analysis
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2020-10-19 , DOI: 10.1109/lwc.2020.3032032
Wonwoo Jang , Wonjun Lee

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.

中文翻译:

小波分析检测无线隐写术

在无线通信中,根据关联的调制技术,信息通过调制波形传输。然而,已经有越来越多的研究通过伪装成正常传输同时进一步调制波形来秘密地传输信息。基于调制的无线隐写技术会导致恶意信息泄漏,而附近的设备不会意识到这一点。在这封信中,我们提出了一种基于小波分析的检测方案,其中采用了各种众所周知的小波(例如,Haar,Morlet,Shannon),以有效地区分主信道和基于调制技术创建的信道。实践实验表明,该方案在大多数情况下至少可以检测基于调制的技术,准确度达到93.25%。
更新日期:2020-10-19
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