Steganalysis Approach Based on Many Detection Algorithms
Jiayong Chen · Jisuanji gongcheng · 2008
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.