针对机器学习攻击的新型PUF:在16mb RRAM芯片上的实现

2017 IEEE International Electron Devices Meeting (IEDM) Pub Date : 2017-12-01 DOI:10.1109/IEDM.2017.8268376

Yachuan Pang, Huaqiang Wu, B. Gao, Dong Wu, An Chen, H. Qian

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引用次数: 21

摘要

物理不可克隆函数(PUF)是一个重要的硬件安全原语。本文提出了一种基于双层RRAM阵列结构的PUF设计，并在形成连续分布后，通过分裂电阻分布实现数字RRAM编程。提出的PUF在16mb RRAM测试芯片上实现，并通过NIST测试套件验证了其随机性。实验结果表明，这种新型PUF设计具有较强的可靠性和较强的抗机器学习攻击能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel PUF against machine learning attack: Implementation on a 16 Mb RRAM chip

Physical unclonable function (PUF) is an important hardware security primitive. This paper proposes a novel PUF design based on a double-layer RRAM array architecture and digital RRAM programming achieved by splitting resistance distribution after a continuous distribution was formed. The proposed PUF was implemented on a 16 Mb RRAM test chip and its randomness was verified with NIST test suite. The experimental results demonstrate strong reliability and significantly enhanced resistance against machine-learning attack of this novel PUF design.

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2017 IEEE International Electron Devices Meeting (IEDM)

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