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A PUF-Based Modeling-Attack Resilient Authentication Protocol for IoT Devices
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DOI：10.1109/JIOT.2021.3098496.png)
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摘要
En 中文
Physical unclonable functions (PUFs) offer a promising solution for the authentication of Internet of Things (IoT) devices as they provide unique fingerprints for the underlying devices through their challenge-response pairs. However, PUFs have been shown to be vulnerable to modeling attacks. In this article, we propose a novel protocol to thwart such vulnerability by limiting the adversary's ability to intercept the whole challenge bits exchanged with IoT nodes. We split the challenge bits over multiple messages and engage one or multiple helper nodes in the dissemination process. We further study the implications of various parts of the challenge patterns on the modeling attack and propose extensions of our protocol that exploit bits scrambling and padding to ameliorate the attack resiliency. The experimental results extracted from a 16-bit and a 64-bit arbiter-PUF implemented on FPGA demonstrate the effectiveness of the proposed methods in boosting the robustness of IoT authentication.
Keyword:
Authentication
Protocols
Internet of Things
Cryptography
Physical unclonable function
Hardware
Computational modeling
Authentication
Internet of Things (IoT)
physical unclonable function (PUF)
machine learning (ML)
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
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