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Conference object . 2018
License: CC BY
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https://doi.org/10.23919/date....
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Conference object . 2018
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Optimization of the PLL configuration in a PLL-based TRNG design

Authors: Noumon Allini, Elie; Petura, Oto; Fischer, Viktor; Bernard, Florent;

Optimization of the PLL configuration in a PLL-based TRNG design

Abstract

Several recent designs show that the phase locked-loops (PLLs) are well suited for building true random number generators (TRNG) in logic devices and especially in FPGAs, in which PLLs are physically isolated from the rest of the device. However, the setup of the PLL configuration for the PLL-based TRNG is a challenging task. Indeed, the designer has to take into account physical constraints of the hardwired block, when trying to achieve required performance (bit rate) and security (entropy rate per bit). In this paper, we introduce a method aimed at choosing PLL parameters (e.g. input frequency, multiplication and division factors of the PLL) that satisfy hardware constraints, while achieving the highest possible bit rate or entropy rate according to application requirements. The proposed method is fast enough to produce all possible configurations in a short time. Comparing to the previous method based on a genetic algorithm, which was able to find only a locally optimized solution and only for one PLL in tens of seconds, the new method finds exhaustive set of feasible configurations of one-or two-PLL TRNG in few seconds, while the found configurations can be ordered depending on their performance or sensitivity to jitter.

Country
France
Keywords

True random number generator, Phase locked loops, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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