Steganalysis of QIM steganography using irregularity measure
Steganalysis of QIM steganography using irregularity measure
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DOI：
10.1145/1411328.1411355
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发表时间：
2008-09
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影响因子：
--
通讯作者：
Hafiz Malik
中科院分区：
文献类型：
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作者：
Hafiz Malik
本文提出了一种非参数隐写分析技术来攻击量化索引调制（QIM）隐写术和 JSteg 隐写术工具。所提出的方案基于这样的观察：使用 QIM 的消息嵌入会在覆盖对象中引入局部不规则性（或随机性）。所提出的隐写分析技术利用多媒体对象中丰富的空间/时间相关性来估计测试对象中的局部不规则性。使用核密度估计 (KDE) 方法以系统方式估计基于测试对象中局部不规则性的基础密度函数。 Tsallis 散度是一种参数散度方法，用于量化测试对象的不规则性。从测试对象估计的密度函数与其双量化版本之间的 Tsallis 散度用于区分封面和隐写。还评估了量化步长、品质因数等消息嵌入参数的选择对灰度图像隐写分析检测准确性的影响。针对这些消息嵌入参数的仿真结果表明，所提出的方法可以成功地区分量化覆盖和 QIM-stego，且误报率较低。还针对 JSteg 隐写工具评估了所提出的隐写分析方案的检测性能。
This paper presents a nonparametric steganalysis technique to attack quantization index modulation (QIM) steganography and JSteg steganographic tool. The proposed scheme is based on the observation that message embedding using QIM introduces local irregularity (or randomness) in the cover-object. Presented steganalysis technique exploits rich spatial/temporal correlation in the multimedia-objects to estimate local irregularity in the test-object. The underlying density function based on local irregularity in the test-object is estimated in a systematic manner using a kernel density estimate (KDE) method. The Tsallis-divergence, a parametric divergence method, is used to quantify irregularity in the test-object. The Tsallis-divergence between the density function estimated from the test-object and its doubly-quantized version is used to distinguish between the cover and the stego. The impact of the choice of message embedding parameters such as quantization step-size, quality factor, etc. on the accuracy of the steganalysis detection for gray scale images is also evaluated. Simulation results presented for these message embedding parameters show that the proposed method can successfully distinguish between the quantized-cover and the QIM-stego with low false alarm rates. Detection performance of the proposed steganalysis scheme is also evaluated for JSteg steganographic tool.