A Survey on the Susceptibility of PUFs to Invasive, Semi-Invasive and Noninvasive Attacks: Challenges and Opportunities for Future Directions

Author:

Mispan Mohd Syafiq1ORCID,Halak Basel2,Zwolinski Mark2

Affiliation:

1. Micro & Nano Electronics, Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Teknikal Malaysia Melaka, Malaysia

2. Electronics & Computer Science, University of Southampton, University Road, Southampton, SO17 1BJ, United Kingdom

Abstract

Physical Unclonable Functions (PUFs) are considered to be a promising technology that provides a hardware root-of-trust for integrated circuit (IC) applications. PUFs exploit the intrinsic process variations that map a set of challenges to a set of responses. The intrinsic process variations are caused by uncontrollable deviations in the IC manufacturing process, which are unique and random from die to die and wafer to wafer. As the PUF output is device-specific, PUFs can, therefore, be used in IC identification and authentication, and cryptographic key generation. Nevertheless, many different successful attack techniques have already revealed vulnerabilities in certain PUFs, including invasive, semi-invasive and noninvasive attacks. In this work, we survey some of the known attacks on PUFs. We also survey the countermeasures to these types of attack presented in recent literature, and finally, discuss the future challenges. Through this survey, the susceptibility of PUFs to attacks is highlighted and this information may be used to improve the quality of future PUF-based application designs.

Funder

Ministry of Higher Education, Malaysia

Publisher

World Scientific Pub Co Pte Ltd

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Designing a photonic physically unclonable function having resilience to machine learning attacks;Quantum Information Science, Sensing, and Computation XVI;2024-06-07

2. Reliable and Efficient Chip-PCB Hybrid PUF and Lightweight Key Generator;IEICE Transactions on Electronics;2023-08-01

3. Machine Learning for Secure Hardware Design;Machine Learning for Embedded System Security;2022

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