针对一类信息伪装算法的隐藏信息检测

本文针对一类基于空域LSB替换的信息伪装方法，提出了一种有效的隐藏信息检测技术。本文提出的隐藏信息的检测技术基于图像LSB比特序列的随机性度量的分析。在唯载密图像攻击条件下，通过在图像中嵌入测试信息的方法，建立秘密信息嵌入比例与LSB比特序列随机性度量的逻辑回归模型，从而实现图像中隐藏信息存在性的检测。实验表明对于灰度图像中即使0.4比特每像素的隐藏容量，仍可能获得较高的检测可靠性。这一方法同样适用于真彩图像。

Steganographic detection aiming at a class of steganography algorithms

An effective steganalytic technique aiming at a class of steganography algorithms based on spatial LSB replacement is proposed. Under the situation of stego-only attack, by embedding test messages into images a logistic regression model is constructed based on randomness metrics of LSB binary sequences to determine the existence of secret messages. Experimental results show that for gray-level images even if secret message capacity is as less as 0.4 bit per pixel, it is possible to achieve a high degree of detection reliability. Our approach is also applicable to true color images.