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

来源：

MINES 2009: FIRST INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY, VOL 1, PROCEEDINGS | 2009年

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

页码：510 / 513

页数：4

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