一种低功耗、高速的真随机数发生器

James Brown, R. Gao, Z. Ji, Jiezhi Chen, Jixuan Wu, Jianfu Zhang, Bo Zhou, Q. Shi, Jacob Crowford, Weidong Zhang
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引用次数: 24

摘要

提出了一种以随机电报噪声(RTN)作为熵源的真随机数发生器(TRNG),同时解决了速度、设计面积、功耗和成本的问题。该设计首次突破了固有的速度限制,以超低功耗产生高达3Mbps的真正随机数。这比最先进的RTN-TRNG快10倍以上[6]。此外,新设计不需要选择器件,从而避免了使用大型晶体管阵列和繁琐的后选过程。这减少了电路面积和成本。提议的TRNG已经在三个不同的过程中成功验证,并且它们都通过了国家标准与技术研究所(NIST)的测试,使其成为未来物联网(IoT)中加密安全应用的合适候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low-power and high-speed True Random Number Generator using generated RTN
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 [6]. 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).
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