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A study on the use of perceptual hashing to detect manipulation of embedded messages in images

2023-02-28 21:32:49
Sven-Jannik Wöhnert, Kai Hendrik Wöhnert, Eldar Almamedov, Carsten Frank, Volker Skwarek

Abstract

Typically, metadata of images are stored in a specific data segment of the image file. However, to securely detect changes, data can also be embedded within images. This follows the goal to invisibly and robustly embed as much information as possible to, ideally, even survive compression. This work searches for embedding principles which allow to distinguish between unintended changes by lossy image compression and malicious manipulation of the embedded message based on the change of its perceptual or robust hash. Different embedding and compression algorithms are compared. The study shows that embedding a message via integer wavelet transform and compression with Karhunen-Loeve-transform yields the best results. However, it was not possible to distinguish between manipulation and compression in all cases.

Abstract (translated)

通常情况下,图像的元数据存储在图像文件中特定的数据段中。但是,为了确保安全地检测变化,数据也可以嵌入图像中。这符合的目标是尽可能隐蔽和稳健地嵌入尽可能多的信息和,最好地情况下 even survive 压缩。这项工作搜索了嵌入原则,以便能够区分通过损失图像压缩意外变化和恶意操纵嵌入消息并根据其感知或稳健哈希变化 malicious 操纵。不同嵌入和压缩算法被比较。研究结果表明,通过整数小波变换和卡尔曼-洛埃夫变换嵌入消息得到最佳结果。但是,在所有情况下都无法确定操作和压缩之间的差异。

URL

https://arxiv.org/abs/2303.00092

PDF

https://arxiv.org/pdf/2303.00092.pdf


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