Steganalysis Algorithm Evaluation Based on Entropy and Grey Relevance Degree
Zhanting Yuan · Jisuanji gongcheng · 2011
Aiming at the complex computation of existing evaluation methods and weight setting methods are not reasonable enough,this paper proposes a method to evaluate and compare different steganalysis algorithms.The weighted grey correlation degree between the target index vector and optimal index vector is obtained by the grey correlation synthetical evaluation method,and steganalysis algorithms' performances is sorted by the size of the weighted grey correlation degree.The instance simulation result proves that the proposed method can reasonably evaluate the steganalysis algorithm and verifies it is a feasible method.