Steganalysis Based on the Rough Set Attribute Reduction
Meng Dai, Jiajun Lin · Huadong Li-Gong Daxue xuebao · 2008
The statistical detection is generally used in steganalysis.Comparing with the special steganalysis,it has the advantage of flexing.However,it has the disadvantages in large-scale data,and low calculate speed.For the high dimensions of feature attributes,the attributes reduction based on rough set can delete the non-important knowledge while not alter the classification ability of knowledge.The result of experiment shows that the proposed detection technique achieves a comparable precise detection rate as(algorithm) based on all feature attributes,however,it evidently decreases detection time.