The Steganalysis of Kim Algorithm Based on SPAM Data Mining
Lin Liu · Harbin Ligong Daxue xuebao · 2013
The steganalysis is to estimate if the digital carrier takes the secret messages. In order to study the steganalysis of Kim's algorithm,SPAM camouflage analyzer was used to analyze Kim's algorithm. In the experiment,5,000 grayscale images with size 512 × 512 coming from RSP image database were firstly selected,7 different embedding capacities were used against SPAM detection where different embedding level with various sub-sampling intervals under Kim algorithm were set. And then the rules of different parameters under Kim's algorithm against SPAM detection were presented. Experimental results show that the average error rate of Kim's algorithm against the SPAM detection is 0. 88% ～ 21. 00%,especially when embedding level is increasing,the average error rate can reach more than 30%,which provides academic references for Kim's algorithm as a carrier to transmit message.