Sequence-Oriented Stochastic Model of RO-TRNGs for Entropy Evaluation

查看全文 作　　者：ZHU [1,2,3]Shaofeng;XI [4]Wei;FAN [1]Limin;CHEN [1]Hua;CHEN [1,3]Meihui;FENG [1]Dengguo

机构地区：[1]Institute of Software,Chinese Academy of Sciences,Beijing 100190,China;[2]State Key Laboratory of Cryptology,Beijing 100878,China;[3]University of Chinese Academy of Sciences,Beijing 100190,China;[4]Electric Power Research Institute,China Southern Power Grid,Guangzhou 510080,China

出　　处：《Chinese Journal of Electronics》索引2020年第29卷第2期,共7页

基　　金：supported by the the Nation Key Research and Development Program of China(No.2018YFB0904900,No.2018YFB0904901)。 摘　　要：Ring oscillator-based true random number generators(RO-TRNGs) are widely used to generate unpredictable random numbers for cryptographic systems.Entropy is usually adopted to quantitatively measure the unpredictability of a TRNG. There have been several stochastic models such as the time-oriented and phaseoriented ones built to evaluate the entropy of ElementaryRO-TRNGs with single oscillator. However, these models are not suitable for the TRNGs composed of multiple oscillators(Multiple-RO-TRNGs), which can obtain more randomness and higher throughput. Considering this,we propose a sequence-oriented stochastic model for the entropy evaluation of RO-TRNGs, named the first-order stationary Markov source model. This model is extensible for the Multiple-RO-TRNGs. Based on that, we present a detailed method to determine the entropy of Multiple-ROTRNGs. Our proposed model is verified by experiments.Besides, our method can also be a guide to design ROTRNGs with both high entropy and high throughput. 关键词：TRUE random number generator(TRNG) Ring OSCILLATOR ENTROPY STOCHASTIC model RANDOMNESS

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Sequence-Oriented Stochastic Model of RO-TRNGs for Entropy Evaluation

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