An Improved Image Hidden Information Detection Method Based on Rough Set Theory
Zou Jin-son · Measurement & Control Technology · 2015
To improve the detection efficiency of blind steganalysis system for hidden information,and solve the problems of high dimension and relevancy of image statistical features,an improved blind steganalysis method for hidden information is proposed based on the rough set theory.Firstly,an improved common steganalysis system framework is proposed,and the implementation procedures and methods are provided.Then the algorithm is designed based on the rough set theory to reduce the dimension of feature,decrease the complexity of classified counting,and eliminate the relevancy between statistical features.At last,the support vector machine is used to construct the classifier,and experiments on the two typical Cox and Piva spread spectrum stealth techniques are carried out.The results show that this method can get better results in the detection accuracy and time efficiency.