计算机工程 ›› 2008, Vol. 34 ›› Issue (8): 150-152.doi: 10.3969/j.issn.1000-3428.2008.08.052

• 开发研究与设计技术 • 上一篇    下一篇

基于多种检测算法的隐写分析方法

邓诗智,刘九芬,张卫明,陈嘉勇   

  1. (解放军信息工程大学信息研究系,郑州 450002)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-04-20 发布日期:2008-04-20

Steganalysis Approach Based on Many Detection Algorithms

DENG Shi-zhi, LIU Jiu-fen, ZHANG Wei-ming, CHEN Jia-yong   

  1. (Department of Information Research, PLA Information Engineering University, Zhengzhou 450002)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-04-20 Published:2008-04-20

摘要: 针对隐写分析中检测隐秘信息存在的问题,综合现有的检测算法,利用贝叶斯的独立二值分类模型,提出一种隐写分析算法。对其进行分类效果分析和参数控制,并将其应用到图像空域最低有效位隐写的检测中,结果表明,该方法较大程度地降低了虚警率和漏报率,并可以通过调整参数改善分类效果。

关键词: 隐写分析, 贝叶斯分类, 虚警率, 漏报率, ROC分析

Abstract: Aiming at the detection of hidden information in steganalysis, a steganalysis approach is advanced based on many methods by using Bayes classification with independent two value. Analysis of classification effect and parameters’ control are given. The result shows that the approach can reduce False Detection Rate (FDR) and False Alarm Rate (FAR) and control classification effect by adjusting parameters. Applying the approach to LSB steganagraphy, experimental results show that it improves the classification effect. Its FDR is the second best and FAR cuts more than half.

Key words: steganalysis, Bayes classification, false alarm rate, false detection rate, ROC analysis