GA-based LSB-matching steganography to hold second-order statistics

被引:0
|
作者
Liu, Guangjie [1 ]
Zhang, Zhan [1 ]
Dai, Yuewei [1 ]
Wang, Zhiquan [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Peoples R China
关键词
steganography; LSB-matching; genetic algorithm; Markov chain; MODEL;
D O I
10.1109/MINES.2009.281
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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
引用
收藏
页码:510 / 513
页数:4
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