RTP timestamp steganography detection method

Yang, Wanxia, Tang, Shanyu ORCID: https://orcid.org/0000-0002-2447-8135 and Wang, GuanPing (2018) RTP timestamp steganography detection method. IETE Technical Review, 35 (1). pp. 59-67. ISSN 0256-4602

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Abstract

A histogram cosine similarity matching method for real-time transport protocol (RTP) timestamp difference vectors and a clustering method of the area between the best-fit curves of 2 RTP timestamp difference sequences are presented. These 2 methods realize timestamp-based least significant bit (LSB) steganography detection respectively. A clustering analysis of the area between the 5th-degree polynomial best-fit curves with message windows w of 20, 50, 100, and 200 was conducted. The results indicated that when the message window w was 100, the result was the best when the characteristic extraction time was shortest, and the initial clustering accuracy was 84.5%. Through further analysis, the clustering accuracy was increased to 100% in the 2nd round of clustering based on whether the mean distance from a data point in an initial cluster to each cluster center was changed.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in IETE Technical Review on 25/10/2018, available online: http://www.tandfonline.com/10.1080/02564602.2018.1536528. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: RTP, timestamp, model-fitting, area difference, cluster, covert channel
Subjects: Computing > Information security > Cyber security
Computing > Information security
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Depositing User: Shanyu Tang
Date Deposited: 12 Nov 2018 16:02
Last Modified: 22 May 2019 12:30
URI: http://repository.uwl.ac.uk/id/eprint/5597

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