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Detectable Tampering of JPEG Anti-Forensics

机译:JPEG反上取证的可检测篡改

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Many forensic techniques recently tried to detect the tampering and manipulation of JPEG compressed images that became a critical problem in image authentication and origin tracking. Some techniques indicated that a knowledgeable attacker can make it very hard to trace the image origin, while others indicated that portions of the compressed image that has been compressed at different quality factor quantization matrices are distinguishable if they are recompressed at a higher quality factor quantization matrix (with less quantization steps). In this paper, we pursue the idea of recompressing forensically suspect-able images with different compression parameters. We use different quantization matrix sizes that would indicate a DCT projection at different frequencies (horizontally, vertically, and diagonally), and would make it easier to track any tampering or hacking footprints. We show that a JPEG compressed image can make these footprints distinguishable if recompressed with a smaller size quantization matrix. Illustrative examples are presented.
机译:许多法医技术最近试图检测JPEG压缩图像的篡改和操作,该图像在图像认证和原点跟踪中成为一个关键问题。一些技术表明,知识渊博的攻击者可以使图像原点很难追踪,而其他技术则指示在不同质量因子量化矩阵以更高质量的因子量化矩阵重新压下的压缩图像的压缩图像的一部分是可区分的(量化步骤较少)。在本文中,我们追求用不同的压缩参数重新按压对疑难智的图像的提高。我们使用不同的量化矩阵尺寸,该矩阵将指示不同频率的DCT投影(水平,垂直和对角线),并且可以更容易地跟踪任何篡改或黑客脚印。我们表明JPEG压缩图像可以使这些足迹可区分,如果用较小的尺寸量化矩阵重新压缩。提出了说明性的例子。

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