July 2, 2024, 4:14 a.m. | Felipe Tellez, Jorge Ortiz

cs.CR updates on arXiv.org arxiv.org

arXiv:2310.06752v2 Announce Type: replace
Abstract: This paper presents a comparative analysis between the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), two vital artificial intelligence algorithms, focusing on optimizing Elliptic Curve Cryptography (ECC) parameters. These encompass the elliptic curve coefficients, prime number, generator point, group order, and cofactor. The study provides insights into which of the bio-inspired algorithms yields better optimization results for ECC configurations, examining performances under the same fitness function. This function incorporates methods to ensure …

ai algorithms algorithm algorithms analysis artificial artificial intelligence arxiv commerce cryptography cs.ai cs.cr curve ecc e-commerce elliptic elliptic curve cryptography encompass generator genetic integrations intelligence optimization point prime quantum swarm

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