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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. The study examines performances under the same fitness function, incorporating advanced methods to ensure robust ECC parameters while testing them in a simulated e-commerce environment.
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