Results 11 to 20 of about 439,273 (266)

Optimization of Random Telegraph Noise Characteristics in Memristor for True Random Number Generator

open access: yesAdvanced Intelligent Systems, 2023
Memristor devices can be utilized for various computing applications, and stochastic computing is one of them. The intrinsic stochastic characteristics of the memristor cause unpredictable current fluctuations by the capture and emission of electrons in ...
Min Suk Song   +5 more
doaj   +2 more sources

Pseudo-Random Number Generator Based on Logistic Chaotic System [PDF]

open access: yesEntropy, 2019
In recent years, a chaotic system is considered as an important pseudo-random source to pseudo-random number generators (PRNGs). This paper proposes a PRNG based on a modified logistic chaotic system.
Luyao Wang, Hai Cheng
doaj   +2 more sources

Source-device-independent heterodyne-based quantum random number generator at 17 Gbps [PDF]

open access: yesNature Communications, 2018
For many applications, quantum random number generation should be fast and independent from assumptions on the apparatus. Here, the authors devise and implement an approach which assumes a trusted detector but not a trusted source, and allows random bit ...
Marco Avesani   +3 more
doaj   +2 more sources

TRNG (True Random Number Generator) Method Using Visible Spectrum for Secure Communication on 5G Network

open access: yesIEEE Access, 2018
The key point of cryptography is cryptographic algorithms and keys. The random number generator is used to generate seeds and keys randomly in many cryptographic systems.
Kyungroul Lee   +3 more
doaj   +3 more sources

A Dual Entropy-Based Digital Random Number Generator

open access: yesIEEE Access, 2021
This paper introduces the dual-entropy method for oscillator-based digital random number generators (RNG). The standard model for elaborating jitter-based RNG is expanded to account for the sampling time uncertainty.
Hikmet Seha Ozturk, Salih Ergun
doaj   +1 more source

Dynamical Pseudo-Random Number Generator Using Reinforcement Learning

open access: yesApplied Sciences, 2022
Pseudo-random number generators (PRNGs) are based on the algorithm that generates a sequence of numbers arranged randomly. Recently, random numbers have been generated through a reinforcement learning mechanism. This method generates random numbers based
Sungju Park   +3 more
doaj   +1 more source

A mechanical true random number generator

open access: yesNew Journal of Physics, 2022
Random number generation has become an indispensable part of information processing: it is essential for many numerical algorithms, security applications, and in securing fairness in everyday life. Random number generators (RNGs) find application in many
Nozomi Akashi   +3 more
doaj   +1 more source

Portable Random Number Generators [PDF]

open access: yesSSRN Electronic Journal, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gerald P. Dwyer, K. B. Williams
openaire   +4 more sources

Hybrid quantum random number generator for cryptographic algorithms

open access: yesРадіоелектронні і комп'ютерні системи, 2021
The subject matter of the article is pseudo-random number generators. Random numbers play the important role in cryptography. Using not secure pseudo-random number generators is a very common weakness.
Maksim Iavich   +3 more
doaj   +1 more source

Quantum random number generators [PDF]

open access: yesReviews of Modern Physics, 2017
Random numbers are a fundamental resource in science and engineering with important applications in simulation and cryptography. The inherent randomness at the core of quantum mechanics makes quantum systems a perfect source of entropy. Quantum random number generation is one of the most mature quantum technologies with many alternative generation ...
Herrero-Collantes, Miguel   +1 more
openaire   +2 more sources

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