CamPUF: Physically Unclonable Function based on CMOS Image Sensor Fixed Pattern Noise
CamPUF: Physically Unclonable Function based on CMOS Image Sensor Fixed Pattern Noise
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CamPUF：基于 CMOS 图像传感器固定模式噪声的物理不可克隆功能
DOI：
10.1145/3195970.3196005
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Lee, Yongwoo
中科院分区：
文献类型：
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作者：
Kim, Younghyun;Lee, Yongwoo
物理不可克隆函数(PUF)已被证明是保护设备身份验证和密钥生成的有效措施。我们提出了一种新的PUF设计，称为CamPUF，基于商用现成的CMOS图像传感器，这些传感器几乎在所有移动设备中都可以使用。图像传感器中像素传感器和读出电路之间的固有工艺不匹配表现为图像中唯一的固定图案噪声(FPN)。我们利用由暗信号非一致性(DSNU)引起的FPN作为实现PUF的基础。DSNU只能从未与他人共享的黑暗图像中提取，并且只有合法用户才能在完全控制图像传感器的情况下获得它。与可以从共享映像提取的其他FPN组件相比，DSNU有助于更安全和更可用的设备身份验证。我们提出了一种用于无线低功耗设备的高效、可靠的密钥生成过程。我们在Google Nexus 5X和Nexus 5上实现了CamPUF，并评估了密钥的唯一性和健壮性，以及它的防伪安全性。我们证明了它能够正确区分合法和非法的身份验证尝试。
Physically unclonable functions (PUFs) have proved to be an effective measure for secure device authentication and key generation. We propose a novel PUF design, named CamPUF, based on commercial off-the-shelf CMOS image sensors, which are ubiquitously available in almost all mobile devices. The inherent process mismatch between pixel sensors and readout circuits in an image sensor manifests as unique fixed pattern noise (FPN) in the image. We exploit FPN caused by dark signal non-uniformity (DSNU) as the basis for implementing the PUF. DSNU can be extracted only from dark images that are not shared with others, and only the legitimate user can obtain it with full control of the image sensor. Compared to other FPN components that can be extracted from shared images, DSNU facilitates more secure and usable device authentication. We present an efficient and reliable key generation procedure for use in wireless low-power devices. We implement CamPUF on Google Nexus 5X and Nexus 5 and evaluate the uniqueness and robustness of the keys, as well as its security against counterfeiting. We demonstrate that it discriminates legitimate and illegitimate authentication attempts without confusion.
图像传感器阵列中现场缺陷的定量分析
DOI：
10.1109/dft.2007.59
发表时间：
2007
期刊：
22nd IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT 2007)
影响因子：
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作者：
Jenny Leung;J. Dudas;G. Chapman;I. Koren;Z. Koren
通讯作者：
Z. Koren
易碎传感器指纹摄像头识别
DOI：
10.1109/wifs.2015.7368580
发表时间：
2015
期刊：
2015 IEEE International Workshop on Information Forensics and Security (WIFS)
影响因子：
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作者：
Erwin Quiring;Matthias Kirchner
通讯作者：
Matthias Kirchner