Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (35): 103-105.

• 网络、通信、安全 • Previous Articles     Next Articles

Universal steganalysis based on Markov model

SU Guangwei   

  1. Key Laboratory of Network & Information Security of APF,Engineering College of APF,Xi’an 710086,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-12-11 Published:2011-12-11

基于马尔科夫模型的通用隐秘检测技术

苏光伟   

  1. 武警工程大学 电子技术系 网络与信息安全武警部队重点实验室,西安 710086

Abstract: The Markov model proposed by Sullivan is analyzed,and its defects of unable to analysis the space domain and frequency domain at the same time is discussed.In response to these shortcomings,an improved scheme has been proposed.With the use of wavelet domain,features can be analyzed simultaneously in airspace and frequency domain,and the effectiveness of this program is proved by statistical model assessment.Contrast experiments also prove that the program has a higher detection rate and versatility.

Key words: universal steganalysis, grads relativity, wavelet, Markov model

摘要: 对Sullivan等人提出的马尔科夫链(Markov Chain,MC)模型进行深入研究,并分析了其不能同时对空间域和频率域进行有效检测的缺陷。针对该缺陷,利用图像小波域的特性,提出了一个能够同时对空间域和频率域进行检测的改进方案,在基于模型的检测理论下,证明了该方案的有效性。实验表明,该方案具有更高的通用性和检测率。

关键词: 通用隐秘检测, 梯度相关性, 小波, 马尔科夫链模型