Sensor pattern noise based source anonymization

Ninad N. Dafale, R. Naskar
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引用次数: 0

Abstract

In today's digital world, images are utilized as a method of communication in all spheres of life. Counter Forensics is the art and science of impeding and misleading forensic analysis of digital images. Camera sensor pattern noise is efficient in blind image source device identification. In this paper, we deliver an attack on digital images, where we completely remove the traces of sensor pattern noises of their source devices, so as to deceive forensic investigations. Next, we substitute the sensor pattern of a given image with that of a different (wrong) source device, such that it now appears to the forensic analyst, that the image was produced by device B, whereas originally it was produced by A. Our experimental results prove that high correlation is achieved between a tampered image and a wrong device, suggesting considerably high degree of anonymity, hence misleading forensics investigation.
基于传感器模式噪声的源匿名化
在当今的数字世界中,图像被用作生活各个领域的交流方法。反取证是阻碍和误导数字图像的法医分析的艺术和科学。相机传感器模式噪声是一种有效的盲图像源设备识别方法。在本文中,我们对数字图像进行攻击,我们完全去除其源设备的传感器模式噪声痕迹,从而欺骗法医调查。接下来,我们用不同(错误)源设备的传感器模式替换给定图像的传感器模式,这样,现在在法医分析师看来,图像是由设备B产生的,而最初它是由a产生的。我们的实验结果证明,篡改图像和错误设备之间实现了高度相关性,这表明匿名程度相当高,因此误导了法医调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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