RTP Timestamp Steganography Detection Method. (25th December 2018)

• Record Type: Journal Article
• Authors: Yang, Wanxia; Tang, Shanyu; Wang, GuanPing
• Is Part Of: IETE technical review. Volume 35(2018)Supplement 1
• Page Start: 59
• Page End: 67
• Publication Date: 2018-12-25
• Subjects: RTP -- Timestamp -- Model-fitting -- Area difference -- Cluster -- Covert channel; Telecommunication -- Periodicals; Electronics -- Periodicals; Electronics; Telecommunication; Periodicals; 621.38
• DOI: 10.1080/02564602.2018.1536528
• Languages: English
• ISSNs: 0256-4602

Abstract

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 is 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.