GA-based LSB-matching steganography to hold second-order statistics
How to design more secure steganographical algorithms all along is the hot topic. In this paper, a modified LSB-matching method is proposed to hold second-order statistics described by Markov Chain distance. To achieve it, the genetic algorithm is used to find the optimum tuning vector to match LSBs of image pixels and message bits. Experiments show the proposed algorithm has better security in K-L and M-C distance meanings, and the blind steanalysis tests also show that our new algorithm is more secure than LSB and LSB-matching methods.
steganography LSB-matching genetic algorithm Markov chain
Guangjie Liu Zhan Zhang Yuewei Dai Zhiquan Wang
School of Automation Nanjing University of Science and Technology Nanjing, P.R. China
国际会议
武汉
英文
510-513
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）