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计算机工程 ›› 2009, Vol. 35 ›› Issue (6): 142-144. doi: 10.3969/j.issn.1000-3428.2009.06.049

• 安全技术 • 上一篇    下一篇

基于JPEG二进制压缩流的隐写分析

刘 谦,卢宏涛   

  1. (上海交通大学电子信息与电气工程学院计算机科学与工程系,上海 200240)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-03-20 发布日期:2009-03-20

Steganalysis Based on JPEG Binary Compressed Stream

LIU Qian, LU Hong-tao   

  1. (Department of Computer Science and Engineering, School of Electronic Information and Electrical Engineering,Shanghai Jaotong University, Shanghai 200240)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-03-20 Published:2009-03-20

摘要: 提出一种基于JPEG二进制压缩数据流的隐写分析方法。该方法不同于在基于离散余弦变换频率域以及图像空间域上的隐写分析方法,利用嵌入信息引起二进制压缩流熵的变化,应用多重嵌入方法得到一组特征向量,以此训练一类支持向量机。针对JSteg和Outguess嵌入方法的检测实验达到了较理想的效果。

关键词: 隐写分析, 二进制压缩流, 多重嵌入方法, 一类支持向量机

Abstract: This paper proposes a method of steganalysis based on JPEG binary compressed stream, which is different from the steganalysis based on Discrete Cosine Transform(DCT) frequency domain and image spatial domain. It utilizes the changes of binary compressed data stream caused by the hidden messages, and uses Multiple Embedding Method(MEM) to draw a feature vector, which is used to train the One Class Support Vector Machine(OC-SVM). OC-SVM get high classification rate towards JSteg and Outguess hiding methods in the experiment.

Key words: steganalysis, binary compressed stream, Multiple Embedding Method(MEM), One Class Support Vector Machine(OC-SVM)

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