Oscillatory metastability in homogeneous and inhomogeneous flip-flops

Reyneri, Leonardo; Corso, D. Del; Sacco, B.

doi:10.1109/4.50312

Cited by 33 publications

(25 citation statements)

References 8 publications

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“…Our study is based on an existing physical model of RS latches published by Reyneri et al in [7]. We complete their noise free model by taking electric noises into account.…”

Section: Modeling the Number Of Temporary Oscillationsmentioning

confidence: 99%

“…We note V in and V out the input and output signal of such an inverter, respectively. The noise-free model is based on the physical model of an inverter with a variable slope published by Reyneri et al in [7]. As presented in Fig.…”

Section: A Modeling An Ideal Noise-free Invertermentioning

confidence: 99%

“…As presented in Fig. 7 b), the model proposed in [7] divides the inverter into three entities: otherwise it outputs 0. -A delay line, which delays comparator output signal by a static delay T 1 .…”

Section: A Modeling An Ideal Noise-free Invertermentioning

confidence: 99%

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A Physical Approach for Stochastic Modeling of TERO-Based TRNG

Haddad

Fischer

Bernard

et al. 2015

Lecture Notes in Computer Science

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Abstract. Security in random number generation for cryptography is closely related to the entropy rate at the generator output. This rate has to be evaluated using an appropriate stochastic model. The stochastic model proposed in this paper is dedicated to the transition effect ring oscillator (TERO) based true random number generator (TRNG) proposed by Varchola and Drutarovsky in 2010. The advantage and originality of this model is that it is derived from a physical model based on a detailed study and on the precise electrical description of the noisy physical phenomena that contribute to the generation of random numbers. We compare the proposed electrical description with data generated in a 28 nm CMOS ASIC implementation. Our experimental results are in very good agreement with those obtained with both the physical model of TERO's noisy behavior and with the stochastic model of the TERO TRNG, which we also confirmed using the AIS 31 test suites.

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“…Our study is based on an existing physical model of RS latches published by Reyneri et al in [7]. We complete their noise free model by taking electric noises into account.…”

Section: Modeling the Number Of Temporary Oscillationsmentioning

confidence: 99%

Section: A Modeling An Ideal Noise-free Invertermentioning

confidence: 99%

See 1 more Smart Citation

A Physical Approach for Stochastic Modeling of TERO-Based TRNG

Haddad

Fischer

Bernard

et al. 2015

Lecture Notes in Computer Science

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“…The design described in this paper yields random results by means of digital circuit artifacts [13], [14]. The design utilizes a pair of oscillators that are permitted to freerun.…”

Section: Description Of Digital Artifactsmentioning

confidence: 99%

Design and Implementation of a True Random Number Generator Based on Digital Circuit Artifacts

Epstein

Hars

Krasinski

et al. 2003

Lecture Notes in Computer Science

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Abstract. There are many applications for true, unpredictable random numbers. For example the strength of numerous cryptographic operations is often dependent on a source of truly random numbers. Sources of random information are available in nature but are often hard to access in integrated circuits. In some specialized applications, analog noise sources are used in digital circuits at great cost in silicon area and power consumption. These analog circuits are often influenced by periodic signal sources that are in close proximity to the random number generator. We present a random number generator comprised entirely of digital circuits, which utilizes electronic noise. Unlike earlier work [11], only standard digital gates without regard to precise layout were used.

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“…Being able to handle these glitch collisions is important since they are more and more likely to happen in current fast circuits, and it will help us to determine race conditions and truly power conThis work has been sponsored in part by the MCYT under Project TIC sumption due to glitches [6,7]. This is also strongly related to the modeling of the inertial effect [8], which determines when a glitch is filtered, and to the triggering of metastable behavior in latches [9,10,11,12]. Other authors have deal with the problem of glitches, either partially or not very accurately [5,6,7,13].…”

Section: Introductionmentioning

confidence: 99%