基于不确定性推理的JPEG图像通用隐藏信息检测技术

JPEG Image Steganalysis Method Based on Uncertainty Reasoning Theory

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.