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首页> 外文会议>2016 IEEE Asian Hardware-Oriented Security and Trust >Using image sensor PUF as root of trust for birthmarking of perceptual image hash
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Using image sensor PUF as root of trust for birthmarking of perceptual image hash

机译：使用图像传感器PUF作为感知图像哈希的胎记标记的信任根

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The perceptual image hash has been widely used for integrity check of digital image content. Existing image hashes fail to identify the origin of image acquisition and non-repudiable authentication is contingent on the privacy of secret key. This paper presents a new and more secure image hashing scheme by exploiting the CMOS image sensor physical unclonable function (PUF) as a root of trust to imprint a birthmark into the image hash. The hash vector is generated directly by the CMOS image sensor based on the content-based features extracted from its captured image and the timestamp of the image without the need for a shared secret key for its authentication. Other than the ability to detect malicious tampering of image content from normal benign image processing operations, the use of CMOS image sensor PUF as a random one-way function to map the extracted feature and the timestamp to a hash vector provides a non-repudiable proof of the original image acquisition device and time of offence when the digital image content is to be presented as an evidence of a crime. As the hash vector can only be generated by the image sensor when it is powered on, it is inherently secure against invasive, data remanence and replay attacks, which are common threats to key-based perceptual image hashes. Our preliminary experimental results on 49 content-preserving and 5 wilfully tampered copies of an original image captured by a 64 × 64 image sensor PUF fabricated in 180 nm 3.3 V CMOS technology have demonstrated that the tampered images and their regions of alteration can be successfully detected from the hash vectors.
机译：感知图像哈希已广泛用于数字图像内容的完整性检查。现有的图像哈希无法识别图像获取的来源，并且不可否认的身份验证取决于密钥的私密性。本文通过利用CMOS图像传感器物理不可克隆功能（PUF）作为信任根将胎记标记到图像哈希中，提出了一种新的，更安全的图像哈希方案。散列向量由CMOS图像传感器根据从其捕获的图像中提取的基于内容的特征以及图像的时间戳直接生成，而无需使用共享密钥进行身份验证。除了能够从正常的良性图像处理操作中检测到​​对图像内容的恶意篡改之外，使用CMOS图像传感器PUF作为随机单向函数将提取的特征和时间戳映射到哈希向量还提供了不可否认的证据当要显示数字图像内容作为犯罪证据时，原始图像获取设备的时间和犯罪时间。由于散列向量只能在图像传感器加电时才能生成，因此它具有固有的安全性，可防止入侵，数据遗留和重播攻击，这些攻击通常是对基于密钥的感知图像散列的威胁。我们对使用180 nm 3.3 V CMOS技术制造的64×64图像传感器PUF捕获的49张内容保留和5张故意篡改的原始图像的初步实验结果表明，可以成功检测到篡改的图像及其变化区域从哈希向量。

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