Title: A word-frequency-preserving steganographic method based on synonym substitution

Authors: Lingyun Xiang; Xiao Yang; Jiahe Zhang; Weizheng Wang

Addresses: Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, China; School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China ' School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China ' School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China ' School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China

Abstract: Text steganography is a widely used technique to protect communication privacy yet it suffers from a variety challenges. One of these challenge is synonym substitution-based method, which may change the statistical characteristics of the content. For example, the word frequency may be changed, which may be easily detected by steganalysis. In order to overcome this disadvantage, this paper proposes a synonym substitution-based steganographic method taking the word frequency into account. This method dynamically divides the synonyms appearing in the text into groups, and substitutes some synonyms to alter the positions of the relative low frequency synonyms in each group to encode the secret information. By maintaining the number of relative low frequency synonyms across the substitutions, it preserves some characteristics of the synonyms with various frequencies in the stego and the original cover texts. The experimental results illustrate that the proposed method can effectively resist the attack from the detection using relative frequency analysis of synonyms.

Keywords: synonym substitution; steganography; word-frequency-preserving; multiple-base encoding; steganalysis.

DOI: 10.1504/IJCSE.2019.099648

International Journal of Computational Science and Engineering, 2019 Vol.19 No.1, pp.132 - 139

Received: 16 Jun 2016
Accepted: 01 Dec 2016
Published online: 20 May 2019 *

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