Fast Fourier Transform-based steganalysis of covert communications over streaming media

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Peng, Jinghui, Tang, Shanyu ORCID: https://orcid.org/0000-0002-2447-8135 and Jia, Li (2019) Fast Fourier Transform-based steganalysis of covert communications over streaming media. International Journal of Computer and Information Engineering, 13 (7). pp. 362-367. ISSN 2010-376X

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Abstract

Steganalysis seeks to detect the presence of secret data embedded in cover objects, and there is an imminent demand to detect hidden messages in streaming media. This paper shows how a new steganalysis algorithm based on Fast Fourier Transform (FFT) can be used to detect the existence of secret data embedded in streaming media. The proposed algorithm uses machine parameter characteristics and a network sniffer to determine whether the Internet traffic contains streaming channels. The detected streaming data is then transferred from the time domain to the frequency domain through FFT. The distributions of power spectra in the frequency domain between original VoIP streams and stego VoIP streams are compared in turn using t-test, achieving the p-value of 7.5686E-176 which is below the threshold. Results indicate that the proposed FFT-based steganalysis algorithm is effective in detecting the secret data embedded in VoIP streaming media.

Item Type:	Article
Additional Information:	This work was supported in part by various industrial sponsors under Grant 28801.
Keywords:	Steganalysis, Security, Fast Fourier Transform (FFT), Streaming media
Subjects:	Computing > Information security > Cyber security Computing > Information security
Related URLs:	https://panel.waset.org/journal/computer... https://zenodo.org/record/3299971
Depositing User:	Shanyu Tang
Date Deposited:	17 Sep 2019 15:48
Last Modified:	04 Nov 2024 11:52
URI:	https://repository.uwl.ac.uk/id/eprint/6383