Attacking the triangle test in sensor-based camera identification
Attacking the triangle test in sensor-based camera identification
复制标题
攻击基于传感器的相机识别中的三角测试
DOI：
10.1109/icip.2014.7026074
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
L. Verdoliva
中科院分区：
文献类型：
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作者：
Francesco Marra;F. Roli;D. Cozzolino;Carlo Sansone;L. Verdoliva
数码相机识别是一个非常活跃的研究领域，在法医学领域有着重要的应用。近年来，针对这一任务提出了几种方法。其中最有前途的是基于传感器噪声模式的估计，用作一种相机指纹。然而，一个聪明的攻击者可以估计相机指纹并恶意使用它：这需要新的对策，等等，在一个典型的双方游戏中。本文考虑了针对假指纹攻击的三角测试方法，提出了一种提高攻击者成功率的新算法。数值实验表明，在典型场景下，该算法显著提高了攻击者的性能。
Digital camera identification is a very active research area, with important applications in the forensics field. Several approaches have been proposed in recent years for this task. One of the most promising is based on the estimation of the sensor noise pattern, used as a sort of camera fingerprint. However, a clever attacker can estimate a camera fingerprint and use it maliciously: this calls for new countermeasures, and so on, in a typical two-party game. In this paper we consider the triangle test, a well-know countermeasure against fake fingerprint attacks, and propose a new algorithm for improving the attacker's success rate. Numerical experiments show that, in typical scenarios, the proposed algorithm improves significantly the attacker performance.