paper-with-me

Papers

A Self-Regulated and Reconfigurable CMOS Physically Unclonable Function Featuring Zero-Overhead Stabilization

2021-07-07 · Dai Li, Kaiyuan Yang

This article presents a reconfigurable physically unclonable function (PUF) design fabricated using 65-nm CMOS technology. A subthreshold-inverter-based static PUF cell achieves 0.3% native bit error rate (BER) at 0.062-fJ per bit core energy efficiency. A flexible, native transistor-based voltage regulation scheme achieves low-overhead supply regulation with 6-mV/V line sensitivity, making the PUF resistant against voltage variations. Additionally, the PUF cell is designed to be reconfigurable with no area overhead, which enables stabilization without redundancy on chip. Thanks to the highly stable and self-regulated PUF cell and the zero-overhead stabilization scheme, a 0.00182% native BER is obtained after reconfiguration. The proposed design shows 0.12%/10 {\deg}C and 0.057%/0.1-V bit error across the military-grade temperature range from -55 {\deg}C to 125 {\deg}C and supply voltage variation from 0.7 to 1.4 V. The total energy per bit is 15.3 fJ. Furthermore, the unstable bits can be detected by sweeping the body bias instead of temperature during enrollment, thereby significantly reducing the testing costs. Last but not least, the prototype exhibits almost ideal uniqueness and randomness, with a mean inter-die Hamming distance (HD) of 0.4998 and a 1020x inter-/intra-die HD separation. It also passes both NIST 800-22 and 800-90B randomness tests.

📄 PDF Abstract BibTeX arXiv:2107.06183

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Physically Unclonable Functions and AI: Two Decades of Marriage

2020-08-26 · Fatemeh Ganji, Shahin Tajik

The current chapter aims at establishing a relationship between artificial intelligence (AI) and hardware security. Such a connection between AI and software security has been confirmed and well-reviewed in the relevant …

Vocal Bursts Valence Prediction

A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks

2024-03-02 · Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei 외

Physically unclonable functions (PUFs) identify integrated circuits using nonlinearly-related challenge-response pairs (CRPs). Ideally, the relationship between challenges and corresponding responses is unpredictable, ev…

Machine Learning Resistant Amorphous Silicon Physically Unclonable Functions (PUFs)

2024-02-05 · Velat Kilic, Neil Macfarlane, Jasper Stround, Samuel Metais 외

We investigate usage of nonlinear wave chaotic amorphous silicon (a-Si) cavities as physically unclonable functions (PUF). Machine learning attacks on integrated electronic PUFs have been demonstrated to be very effectiv…

Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security

2026-03-26 · Joy Acharya, Smit Patel, Paawan Sharma, Mohendra Roy arxiv

Physically Unclonable Functions (PUFs) provide promising hardware security for IoT authentication, leveraging inherent randomness suitable for resource constrained environments. However, ML/DL modeling attacks threaten P…

Computational Efficiency

Modeling Strong Physically Unclonable Functions with Metaheuristics

2022-02-16 · Carlos Coello Coello, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot 외

Evolutionary algorithms have been successfully applied to attacking Physically Unclonable Functions (PUFs). CMA-ES is recognized as the most powerful option for a type of attack called the reliability attack. While there…

Evolutionary Algorithms