摘要
在已知嵌入消息长度的条件下,隐写密钥可以看做消息嵌入的起始位。将图像像素划分为不同类点,通过分析信息嵌入和最低位置反对各类点的影响,得到图像嵌入信息部分和未嵌入信息部分的差异,最终设计了针对空域序列LSB(least significant bits)隐写图像的密钥估计算法。实验结果表明,该算法可对隐写密钥进行快速有效的估计。
This paper focused on the problem of estimating the stego key,which could be considered as the beginning of the secret message under the condition that the message length was known. Classified the pixels into different kinds. Based on the analysis of the effects on different kinds of pixels message embedding and least significant bit plane flipping have,obtained the difference between the part with message and the part without message in image. And then devised the stego key estimation algorithm of spatial sequential LSB image steganography. The experiment shows that this algorithm can estimate the stego key effectively and quickly.
出处
《计算机应用研究》
CSCD
北大核心
2010年第10期3896-3898,共3页
Application Research of Computers
基金
河南省信息安全重点实验室基金课题资助项目(10ISLB001)
关键词
隐写分析
空域
最小有效位隐写
密钥估计
steganalysis
spatial domain
LSB steganography
stego key estimation