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Linguistic steganography detection using statistical characteristics of correlations between words

  • Zhili Chen*
  • , Liusheng Huang
  • , Zhenshan Yu
  • , Wei Yang
  • , Lingjun Li
  • , Xueling Zheng
  • , Xinxin Zhao
  • *此作品的通讯作者
  • University of Science and Technology of China

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Linguistic steganography is a branch of Information Hiding (IH) using written natural language to conceal secret messages. It plays an important role in Information Security (IS) area. Previous work on linguistic steganography was mainly focused on steganography and there were few researches on attacks against it. In this paper, a novel statistical algorithm for linguistic steganography detection is presented. We use the statistical characteristics of correlations between the general service words gathered in a dictionary to classify the given text segments into stego-text segments and normal text segments. In the experiment of blindly detecting the three different linguistic steganography approaches: Markov-Chain-Based, NICETEXT and TEXTO, the total accuracy of discovering stego-text segments and normal text segments is found to be 97.19%. Our results show that the linguistic steganalysis based on correlations between words is promising.

源语言英语
主期刊名Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers
出版商Springer Verlag
224-235
页数12
ISBN(印刷版)3540889604, 9783540889601
DOI
出版状态已出版 - 2008
已对外发布
活动10th International Workshop on Information Hiding, IH 2008 - Santa Barbara, CA, 美国
期限: 19 5月 200821 5月 2008

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5284 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议10th International Workshop on Information Hiding, IH 2008
国家/地区美国
Santa Barbara, CA
时期19/05/0821/05/08

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