摘要
针对RS隐写分析方法,提出了一种改进的LSB信息隐藏算法以抵抗RS攻击。该算法首先运用一般的LSB隐写方法将秘密信息随机嵌入掩体图像中,然后利用离散二进制粒子群优化技术对嵌入信息后的stego图像进行有效的灰度值调整,使得修改后的stego图像不被RS隐写分析方法检测到秘密信息的存在。实验结果表明,该算法能有效抵抗RS隐写分析,且算法性能稳定。
To improve the robustness of the simple least-significant-bit (LSB) substitution method, a new information hiding algorithm based on LSB substitution is proposed. This method first embeds secret messages into the cover-images through the simple LSB substitution method and obtains the original stego-images. And then it employs the discrete binary version of particle swarm optimization (PSO) algorithm to adjust the gray scale of the original stego-images. By doing so, the RS steganalysis method can not detect the existence of secret messages in the revised stego-images. The experiments show that the proposed method is robust to RS steganalysis and performs steadily.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第8期1358-1361,共4页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(NSF60571052)
关键词
隐写术
数据分析
离散二进制粒子群优化算法
steganography
data analysis
discrete binary version of particle swarm optimization algorithm