计算机工程 ›› 2010, Vol. 36 ›› Issue (24): 125-126.doi: 10.3969/j.issn.1000-3428.2010.24.044

• 安全技术 • 上一篇    下一篇

JPEG图像隐秘检测算法

张天祥1,潘 峰1,2,李秀广1,王世峰1   

  1. (1. 武警工程学院电子技术系网络与信息安全武警部队重点实验室,西安 710086; 2. 西安电子科技大学网络信息安全教育部重点实验室,西安 710071)
  • 出版日期:2010-12-20 发布日期:2010-12-14
  • 作者简介:张天祥(1985-),男,硕士研究生,主研方向:密码学,信息安全;潘 峰,副教授;李秀广,助教、硕士研究生;王世峰,硕士研究生
  • 基金项目:

    国家自然科学基金资助项目(60842006);国家部委基金资助项目

Steganography Detection Algorithm for JPEG Image

ZHANG Tian-xiang1, PAN Feng 1,2, LI Xiu-guang1, WANG Shi-feng1   

  1. (1. Key Laboratory of Network & Information Security of APF, Dept. of Electronic Technology, Engineering College of APF, Xi’an 710086, China; 2. Key Laboratory of Network & Information Security of Ministry of Education, Xidian University, Xi’an 710071, China)
  • Online:2010-12-20 Published:2010-12-14

摘要:

根据常用隐写算法Outguess、F5、Steghide对JPEG图像量化DCT系数首位数字直方图和独立直方图的改变,提出一种JPEG图像隐秘检测算法。该算法提取JPEG图像量化DCT系数首位数字直方图和独立直方图作为图像特征,共144维,并采用Fisher分类器进行识别。实验结果证明,该算法检测率高、适用性好。

关键词: 信息隐藏, 隐秘检测, JPEG图像

Abstract:

According to the changes of the historgrams of the first digital distribution and the individual DCT coefficients caused by the steganography algorithm, such as Outguess, F5, Steghide, this paper proposes a new detection algorithm for the JPEG Image. It extracts 144 features by using the first digital distribution and the histograms of individual DCT coefficients, and uses Fisher classifier for recognition. Experimental results show that the algorithm has high detection rate and chronic adaptability.

Key words: information hiding, steganography detection, JPEG image

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