⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文提出了一种基于眼图开度概念的仲裁器PUF,通过自动错误检测机制实现PVT鲁棒的掩码和比特稳定,用于生成可靠的硬件指纹。解决了传统PUF在电压、温度和工艺变化下比特不稳定的问题。
John G. Kauffman, Maurits Ortmanns University of Ulm, Ulm, Germany Physically Unclonable Functions (PUFs) enable hardware identification and security key generation without storing them in non-volatile memory or exposing them to the public. They rely on translation of inherent manufacturing variations as source of entropy into a digital fingerprint that should remain constant across varying voltage, temperature and time. (IC-) PUFs have mostly been implemented using bi-stable circuits [1–4], ring-oscillators (ROs) [5], (pre-)amplifiers [6], or delay-based arbiters [7]. Since every approach has different advantages, recent work combined different PUF archetypes, e.g., in [4] for high readout speed and small area/bit or [3] to achieve a low bit error rate (BER). While a low BER minimizes the need for area and power-intensive error correction codes, achieving high fingerprint stability over environmental changes remains challenging. Recent work
Bjoern Driemeyer, Holger Mandry, David-Peter Wiens, Joachim Becker,