A Quantitative Security Ranking Method of PUF Based on the Rademacher Complexity of PUFs

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
IEEE Embedded Systems Letters Pub Date : 2026-04-01 Epub Date: 2025-07-07 DOI:10.1109/LES.2025.3586724
Xuexiang Deng;Xiaole Cui;Xing Zhang
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引用次数: 0

Abstract

physical unclonable function (PUF) is regarded as one of the promising hardware security primitives. However, the modeling attack poses a real threat to the security of PUFs in recent years. So the security becomes an important characteristic of PUF, in addition to the randomness, uniqueness and reliability. Researchers have proposed some methods to evaluate the security of PUFs. However, the quantitative security ranking method of different PUFs is still an open issue. This work introduces the Rademacher complexity of PUF, abbreviated as the R complexity, to evaluate the security of PUFs. A ranking method of PUF security is proposed based on the R complexity. The proposed method is able to against the noise effect of challenge response pairs (CRPs). The securities of twelve different types of PUFs with different sizes are ranked by the proposed method. The ranking results are in line with the results from the security improvement practices of these PUFs, which verify the effectiveness of the proposed ranking method.
基于PUF Rademacher复杂度的PUF定量安全排序方法
物理不可克隆函数(PUF)被认为是一种很有前途的硬件安全原语。然而,近年来,建模攻击对puf的安全性构成了实实在在的威胁。因此,除了随机性、唯一性和可靠性之外,安全性也成为PUF的一个重要特征。研究人员提出了一些评估puf安全性的方法。然而,不同puf的定量安全排序方法仍然是一个悬而未决的问题。本文引入PUF的Rademacher复杂度(简称R复杂度)来评估PUF的安全性。提出了一种基于R复杂度的PUF安全性排序方法。该方法能够克服挑战响应对(CRPs)的噪声影响。采用该方法对12种不同类型、不同规模的puf证券进行了排序。排序结果与这些puf的安全改进实践结果一致,验证了所提出的排序方法的有效性。
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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来源期刊
IEEE Embedded Systems Letters
IEEE Embedded Systems Letters Engineering-Control and Systems Engineering
CiteScore
3.30
自引率
0.00%
发文量
65
期刊介绍: The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software. The emphasis is on models, methods, and tools that ensure secure, correct, efficient and robust design of embedded systems and their applications.
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