A fast and effective steganalytic technique against JSteg-like algorithms
A fast and effective steganalytic technique against JSteg-like algorithms
复制标题
DOI：
10.1145/952532.952595
复制
发表时间：
2003-03
期刊：
影响因子：
--
通讯作者：
Tao Zhang;X. Ping
中科院分区：
文献类型：
--
作者：
Tao Zhang;X. Ping
检测图像中的隐藏信息，又称图像隐写分析，对网络信息安全具有重要意义。本文针对JPEG图像的两种流行的类JSteg隐写系统：顺序JSteg和随机JSteg，提出了一种基于DCT系数统计分布的快速有效的隐写分析方法。该方法不仅可以可靠地判断JPEG图像中隐藏信息的存在，而且可以准确地估计隐藏信息的数量。它的优点还包括简单，计算效率和易于实现的实时检测。实验结果表明，该方法优于其他隐写分析技术。
Detection of hidden messages in images, also known as image steganalysis, is of great significance to network information security. In this paper, we propose a fast and effective steganalytic technique based on statistical distributions of DCT coefficients which is aimed at two kinds of popular JSteg-like steganographic systems, sequential JSteg and random JSteg for JPEG images. Our approach can not only determine the existence of hidden messages in JPEG images reliably, but also estimate the amount of hidden messages exactly. Its advantages also include simplicity, computational efficiency and easy implementation of real-time detection. Experiment results show the superiority of our approach over other steganalytic techniques.