图像传感器指纹的混淆研究

Marcus Schwarting, T. Burton, Roman V Yampolskiy
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引用次数: 5

摘要

迄今为止,已经有几次尝试利用传感器噪声进行设备识别和认证。这些发展大多发生在移动图像传感器、加速度计和麦克风上。隔离传感器指纹的后果是,任何第三方,利用多个来源,可以有效地跟踪用户的移动运动,而不使用cookie。传感器指纹,尤其是图像指纹,可能会对承诺在线匿名分享图片的应用程序和网站构成相当大的挑战。本文描述了潜在的威胁以及补救该漏洞所需的步骤。然后,它提出了在更多样化的领域广泛实施的潜力。
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On the Obfuscation of Image Sensor Fingerprints
To date, there have been several attempts to utilize sensor noise for device identification and authentication. Most of these developments have taken place in mobile image sensors, accelerometers, and microphones. The ramifications of isolating sensor fingerprints is that any third party, utilizing multiple sources, may effectively track the mobile movements of a user without the use of cookies. Sensor fingerprints, especially that of images, could pose quite a challenge to applications and websites that promise online anonymity in picture sharing. This paper describes the threat potential as well as the required steps to remedy said vulnerability. It then suggests the potential for widespread implementation in a more diverse span of fields.
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