Brown, J, Gao, R, Ji, Z, Chen, J, Wu, J, Zhang, JF, Zhou, B, Shi, Q, Crawford, J and Zhang, WD (2018) A low-power and high-speed True Random Number Generator using generated RTN. In: 2018 IEEE Symposium on VLSI Technology . (2018 Symposia on VLSI Technology and Circuits, 18 June 2018 - 22 June 2018, Hawaii US).

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Abstract

A novel True Random Number Generator (TRNG), using random telegraph noise (RTN) as the entropy source, is proposed to address speed, design area, power and cost simultaneously. For the first time, the proposed design breaks the inherent speed limitation and generates true random numbers up to 3Mbps with ultra-low power. This is over 10 times faster than the state-of-the-art RTN-TRNG. Moreover, the new design does not require selection of devices and thus avoids the use of large transistor array and laborious post-selection process. This reduces the circuit area and the cost. The proposed TRNG has been successfully validated on three different processes and they all passed the National Institute of Standards and Technology (NIST) tests, making it a suitable candidate for future cryptographically secured applications in the internet of things (IoT).

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions:	Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher:	IEEE
Related URLs:	https://www.ljmu.ac.uk/about-us/staff-profiles/faculty-of-engineering-and-technology/department-of-electronics-and-electrical-engineering/zhigang-ji
Date Deposited:	26 Mar 2018 11:07
Last Modified:	16 May 2024 15:03
DOI or ID number:	10.1109/VLSIT.2018.8510671
URI:	https://researchonline.ljmu.ac.uk/id/eprint/8374

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