A Low Power Diode-Clamped Inverter-Based Strong Physical Unclonable Function for Robust and Lightweight Authentication

被引:41
|
作者
Cao, Yuan [1 ,2 ]
Liu, Chao Qun [3 ,4 ]
Chang, Chip Hong [4 ]
机构
[1] Hohai Univ, Coll Internet Things Engn, Changzhou 213022, Peoples R China
[2] Southeast Univ, Minist Educ, Key Lab Comp Network & Informat Integrat, Nanjing 210018, Jiangsu, Peoples R China
[3] MediaTek Singapore Pte Ltd, Singapore 138628, Singapore
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
基金
中国国家自然科学基金;
关键词
Strong physical unclonable function; lightweight authentication; mono-stable circuit; low power; PUF; NM;
D O I
10.1109/TCSI.2018.2855061
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Strong physical unclonable function (PUF) transcends the limitations of legacy secure key storage methods as emerging security primitive for cryptography and device identification/authentication. In this paper, a new low power and reliable mono-stable strong PUF is proposed. Its primary entropy is derived from the process variations of the parallel diode-clamped single inverter ring working in the subthreshold region. Due to manufacturing process variations, the mono-stable state of the output voltage of single inverter ring is Gaussian distributed around the half V-dd point. The spread of the Gaussian is broadened by mixing it with another Gaussian distributed trip point obtained from a diode-clamped parallel inverter stage. As the main entropy of the raw response bits is derived from a mono-stable circuit, it has greater immunity to perturbances introduced by operating environments. In addition, as the mono-stable state for the output voltage is a non-linear combination of individual inverter rings, the resilience against machine learning attacks can be improved. The prototype chip was fabricated using a commercial 40-nm CMOS technology. The measurement results show that the power consumption of the 64-bit mono-stable PUF is merely 3.85 mu W. The native bit error rate is <8% at 0.9 similar to 1.3 V and -40 similar to 90 degrees C, which can be further reduced to <1% using the proposed thresholding technique. The proposed PUF reduces the accuracy of support vector machine and reliability-based covariance matrix adaptation evolution strategy attacks by 36x and 75x, respectively, over that of arbiter PUF.
引用
收藏
页码:3864 / 3873
页数:10
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