A Permutation Challenge Input Interface for Arbiter PUF Variants Against Machine Learning Attacks
A Permutation Challenge Input Interface for Arbiter PUF Variants Against Machine Learning Attacks
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DOI：
10.1109/isvlsi54635.2022.00094
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
Yu Zhuang;Gaoxiang Li;Khalid T. Mursi
中科院分区：
文献类型：
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作者：
Yu Zhuang;Gaoxiang Li;Khalid T. Mursi
物联网（IoT）广泛而深入地渗透到我们的社会中，其中许多都是资源受限的，需要轻量级的安全协议。物理不可克隆功能（PUF）利用电路的物理变化来产生对各个设备唯一的响应，因此即使是它们的制造商也不能再现。PUF可以用简单的电路实现，并且可以低能量操作，是资源受限的物联网设备的安全原语的有希望的候选者。Arbiter PUF（APUF）及其变体在资源需求方面是轻量级的，但容易受到机器学习攻击。为了保护APUF变体免受机器学习攻击，在本文中，我们研究了一个挑战输入接口，它会产生低开销。进行了分析和实验研究，表明当PUF配备接口时，对机器学习攻击的抵抗力大幅提高，使得接口APUF变体有希望成为安全关键应用的候选者。
Internet of Things (IoT) have broad and deep penetration into our society, and many of them are resource-constrained, calling for lightweight security protocols. Physical unclonable functions (PUFs) leverage physical variations of circuits to produce responses unique for individual devices, and hence are not reproducible even by their manufacturers. Implementable with simplistic circuits and operable with low energy, PUFs are promising candidates as security primitives for resource-constrained IoT devices. Arbiter PUF (APUF) and its variants are lightweight in resource requirements but suffer from vulnerability to machine learning attacks. To defend APUF variants against machine learning attacks, in this paper we investigate a challenge input interface, which incurs low overhead. Analytical and experimental studies were carried out, showing substantial improvement of resistance against machine learning attacks when a PUF is equipped with the interface, rendering interfaced APUF variants promising candidates for security critical applications.