High quality random number generator from constrained devices using post processing methods applied to a high level network
Author(s) -
Guilherme Salgueiro,
THALIA GABRIELLE VIANNA MONTEIRO,
Diogo Costa,
Miguel Teixeira,
Armando N. Pinto,
José Santos
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/wquantum.2021.17222
Subject(s) - computer science , random number generation , cryptography , entropy (arrow of time) , generator (circuit theory) , computer engineering , computer network , power (physics) , algorithm , physics , quantum mechanics
Secure transmission of data in communications based on constrained devices is an understudied issue with severe consequences, as it may jeopardize the entirety of a network's security. Most cryptographic methods are based on random numbers, however, obtaining these proves challenging on devices with such low computational power. In this paper, we evaluate the use of postprocessing techniques to increase the quality of randomly generated numbers in 32-bit RISC-V processors, within the context of a blockchain network. Through these methods an increase of entropy of 80% was achieved.
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