Time-Adaptive Statistical Test for Random Number Generators [PDF]
Entropy, 2020 The problem of constructing effective statistical tests for random number generators (RNG) is considered. Currently, there are hundreds of RNG statistical tests that are often combined into so-called batteries, each containing from a dozen to more than ...
Boris Ryabko
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Min-entropy estimation for semiconductor superlattice true random number generators [PDF]
Scientific Reports, 2022 Semiconductor superlattice true random number generator (SSL-TRNG) has an outstanding practical property on high-throughput and high-security cryptographic applications.
Jing Liu +6 more
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Advanced Statistical Testing of Quantum Random Number Generators [PDF]
Entropy, 2018 Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, therefore, unsuitable for tackling fundamental problems in security and ...
Aldo C. Martínez +5 more
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Adaptive Feedback Compensation Algorithm for Quantum Random Number Generators [PDF]
EntropyAs a core component in quantum cryptography, Quantum Random Number Generators (QRNGs) face dual critical challenges: insufficient randomness enhancement and limited compatibility with post-processing algorithms.
Wei Deng +5 more
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Statistical Testing of Random Number Generators and Their Improvement Using Randomness Extraction [PDF]
EntropyRandom number generators (RNGs) are notoriously challenging to build and test, especially for cryptographic applications. While statistical tests cannot definitively guarantee an RNG’s output quality, they are a powerful verification tool and the only ...
Cameron Foreman +2 more
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On the Entropy of Oscillator-Based True Random Number Generators under Ionizing Radiation [PDF]
Entropy, 2018 The effects of ionizing radiation on field-programmable gate arrays (FPGAs) have been investigated in depth during the last decades. The impact of these effects is typically evaluated on implementations which have a deterministic behavior.
Honorio Martin +4 more
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Recommendations and illustrations for the evaluation of photonic random number generators
APL Photonics, 2017 The never-ending quest to improve the security of digital information combined with recent improvements in hardware technology has caused the field of random number generation to undergo a fundamental shift from relying solely on pseudo-random algorithms
Joseph D. Hart +5 more
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Random Number Generators: Principles and Applications
Cryptography, 2023 In this paper, we present approaches to generating random numbers, along with potential applications. Rather than trying to provide extensive coverage of several techniques or algorithms that have appeared in the scientific literature, we focus on some ...
Anastasios Bikos +3 more
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Stability of Characteristics of Physical Random Number Generators
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2023 The development of technologies leads to the need of revising the methods used to obtain cryptographic keys. The randomness parameters of sequences generated by physical random sequence generators are affected by the physical parameters of the recording ...
M. O. Pikuza +2 more
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Note on Marsaglia`s Xorshift Random Number Generators
Journal of Statistical Software, 2004 Marsaglia (2003) has described a class of Xorshift random number generators (RNGs) with periods 2n - 1 for n = 32, 64, etc. We show that the sequences generated by these RNGs are identical to the sequences generated by certain linear feedback shift ...
Richard P. Brent
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