Chaos in Fully Digital Circuits: A Novel Approach to the Design of Entropy Sources

Addabbo, Tommaso; Fort, Ada; Moretti, Riccardo; Mugnaini, Marco; Takaloo, Hadis

doi:10.1109/iscas45731.2020.9180746

Cited by 1 publication

(1 citation statement)

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“…Depending on the design of the TRNG core, the technical relation between entropy and tuning/controlling parameters can be strongly dependent on the implementation. This happens, e.g., in some fully digital TRNGs combining complex oscillators and metastable circuits, in which process-voltage-temperature variations can play relevant roles [13]- [17], [30]- [32]. In these solutions, finite parametric spaces are inspected searching for an optimum setup, according to different optimization criteria, that in the worst case agree with exhaustive investigations of the entire parametric space [13], [14], [30], [33].…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Algorithm to Design Min-Entropy Tuning Controllers for True Random Number Generators

Addabbo

Fort

Moretti

et al. 2022

IEEE Trans. Circuits Syst. I

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We discuss a stochastic algorithm to design tuning controllers for cryptographic True Random Number Generators, compliant to NIST recommendations, as an effective low-complexity solution to counteract entropy variability in integrated architectures implementing tunable entropy sources. Taking as a reference the min-entropy concept, we discussed the proposal from both the theoretical and hardware design points of view, validating claims with proofs and experiments. Depending on the target accuracy, the proposed architecture is scalable, and its profitable use in TRNG design strongly depends on the kind of core entropy sources taken into account. Furthermore, we show that the low-complexity entropy measurement techniques exploited in this proposal can be used to design a legitimate alternative to the Adaptive Proportion Health Test recommended in the NIST 800.90B publication.

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