Capacity Investigation of Markov Chain-Based Statistical Text Steganography: Arabic Language Case

Nujud Alghamdi, L. Berriche
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引用次数: 7

Abstract

Nowadays, there is a high motivation to develop techniques of sending secret information as a result of the need to transfer some data in a secret way. Steganography is one of the important techniques in this field. In particular, statistical text steganography is classified as an immune technique against the majority of steganalysis techniques compared to other steganography techniques. On the other hand, although Arabic is the official language of many countries, many steganography techniques remain unexplored for it. In this work, we implemented a Markov Chain (MC) encoder/decoder combined with Huffman Coding (HC) for Arabic text steganography. Additionally, we computed an upper bound and a lower bound for the stego-text length that depends on the designed encoder/decoder parameters. The proposed Arabic steganography technique capacity performance was investigated for different encoder parameters and secret message length. We found that applying some constraints on the MC increases the embedding capacity till it reaches an upper limit floor.
基于马尔可夫链的统计文本隐写能力研究:阿拉伯语案例
目前,由于需要以保密的方式传输某些数据,因此开发保密信息发送技术的动机很高。隐写技术是该领域的重要技术之一。特别是,与其他隐写技术相比,统计文本隐写被归类为针对大多数隐写分析技术的免疫技术。另一方面,虽然阿拉伯语是许多国家的官方语言,但许多隐写技术仍未被探索。在这项工作中,我们实现了一个马尔可夫链(MC)编码器/解码器与霍夫曼编码(HC)相结合的阿拉伯文本隐写。此外,我们计算了隐文本长度的上限和下限,这取决于所设计的编码器/解码器参数。研究了不同编码器参数和保密信息长度下阿拉伯语隐写技术的容量性能。我们发现,在MC上施加一些约束可以增加嵌入容量,直到达到上限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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