摘要
目前隐写分析通常被作为一种确定性问题进行研究,研究中忽略了不确定性因素的影响,这导致了检测可靠性下降.本文对通用隐写分析中的不确定性因素进行了分析.在此基础上,构建了基于不确定性推理的隐写分析模型,设计了基于证据推理的通用隐写分析算法.实验证明了算法具有较好的可扩展性和可靠性,从而也验证了使用不确定性推理方法解决隐写分析问题的有效性.
Steganalysis was discussed as a certain problem without considering the uncertain factors, which reduced the reliability of steganalysis.Accordingly, the uncertainty factors,in universal steganalysis, are analyzed. Then,based on uncertainty reasoning method, a steganalysis model considering the uncertain factors from features extraction, classifier training and decision is put forward. Moreover, an universal steganalysis algorithm is proposed based on Dempster-Shafer(D-S) evidence theory. The experimental results show that the reliability and scalability of the algorithm is higher than previous algorithms and uncertainty theory is validity to resolve the steganalysis problems.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第2期233-238,共6页
Acta Electronica Sinica
基金
国家自然科学基金(No.60970114
No.61100042)
国家863高技术研究发展计划(No.2009AA01Z44)
海军工程大学自然科学基金(No.HGDQNJJ11023)
关键词
隐写分析
不确定性
证据理论
支持向量机
stegananlysis
uncertainty
dempster- shafer evidence theory
support vector machine