[1]欧阳春娟,李霞,李斌.基于递进多目标蛙跳优化的LSB±K隐写算法[J].深圳大学学报理工版,2012,29(No.3(189-282)):224-229.[doi:10.3724/SP.J.1249.2012.03224]
　OUYANG Chun-juan,LI Xia,and LI Bin.A secure LSB plus-minus K steganography based on escalating multi-objective SFLA[J].Journal of Shenzhen University Science and Engineering,2012,29(No.3(189-282)):224-229.[doi:10.3724/SP.J.1249.2012.03224]
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基于递进多目标蛙跳优化的LSB±K隐写算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第29卷
期数:
2012年No.3(189-282)
页码:
224-229
栏目:
电子与信息科学
出版日期:
2012-05-21

文章信息/Info

Title:
A secure LSB plus-minus K steganography based on escalating multi-objective SFLA
作者:
欧阳春娟1; 2; 李霞1; 2; 李斌1; 2
1）深圳大学信息工程学院，深圳 518060
2）深圳市现代通信与信息处理重点实验室，深圳 518060
Author(s):
OUYANG Chun-juan1; 2;  LI Xia1; 2;  and LI Bin1; 2
1) College of Information Engineering, Shenzhen University, Shenzhen 518060, P.R.China
2) Shenzhen Modern Communications and Information Processing Research Laboratory, Shenzhen 518060, P.R.China
关键词:
数据安全与计算机安全; 隐写; 混合蛙跳算法; 多目标优化
Keywords:
data security and computer security;  steganography;  shuffled frog leaping algorithm;  multi-objective optimization
分类号:
TP 309.2
DOI:
10.3724/SP.J.1249.2012.03224
文献标志码:
A
摘要:
设计一种采用非支配排序、拥挤机制和种群重构等策略的递进多目标混合蛙跳算法，可有效保证Pareto前沿的多样性和均匀性.将该多目标优化算法用于设计LSB±K隐写算法.在优化过程中对图像分块，对应所有图像子块组成的矩阵构成优化算法的可行解，矩阵元素代表对应图像块像素的嵌入位数.以载体图像与载密图像差分图的直方图特征函数质心差和隐写容量为两个优化目标，对不同图像块的嵌入位数进行优化.实验结果表明，采用递进多目标混合蛙跳优化的LSB±K隐写算法，与相近抗分析性能下的LSBM隐写及单目标优化LSBM隐写相比，嵌入容量提高了30%；与相同容量的LSB±2隐写及单目标优化LSB±2隐写相比，抗分析能力更强.
Abstract:
An escalating multi-objective shuffled frog leaping algorithm (EMO-SFLA) was proposed. In the EMO-SFLA strategies such as non-dominated sorting, crowding distance and population reconstruction were adopted to obtain a diversity and uniformity of the Pareto frontier. Then, an improved least-significant bit plus-minus K steganography (denoted as SFLA-LSBK) was put forward based on EMO-SFLA. In SFLA-LSBK, a matrix denoting all the image blocks was defined as a feasible solution, and the value was shown of each element of the matrix, denoting the embedding bits of the corresponding image block. The difference of the histogram characteristic function center of mass (HCF-COM) of the cover difference images and its stego version, together with the embedding capacity, were employed as the two objects for optimizing the embedded bits of each image block. Experimental results show that, under similar security levels, SFLA-LSBK has a 30% increase in embedding capacity over LSB Matching steganography, and the LSB Matching steganography was improved with single objective optimization. The proposed method also demonstrates better performance in resisting steganalysis than LSB±2 steganography, and the LSB±2 steganography is improved with single objective optimization under the same embedding capacity.

参考文献/References:

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备注/Memo

备注/Memo:
Received：2011-10-28；Revised：2012-01-15；Accepted：2012-04-10
Foundation：National Natural Science Foundation of China (61171124, 61103174)
Corresponding author：Professor LI Xia. E-mail: lixia@szu.edu.cn
Citation：OUYANG Chun-juan, LI Xia, LI Bin. A secure LSB plus-minus K steganography based on escalating multi-objective SFLA ［J］. Journal of Shenzhen University Science and Engineering, 2012, 29(3): 224-229.（in Chinese）
基金项目：国家自然科学基金资助项目(61171124, 61103174)
作者简介：欧阳春娟（1974-），女（汉族），江西省吉安市人，井冈山大学副教授、深圳大学博士研究生. E-mail: oycj001@163.com
引文：欧阳春娟， 李霞， 李斌. 基于递进多目标蛙跳优化的LSB±K隐写算法 ［J］. 深圳大学学报理工版，2012，29（3）：224-229.
更新日期/Last Update: 2012-05-28