AN ANALYSIS OF THE ASYMMETRIC RANDOM NOISY RSA ENCRYPTION SCHEME
Authors: Edgar Rangel Lugo, Cinthya Maybeth Rangel Ríos, Kevin Uriel Rangel Ríos, Leticia Roque Correa, Aracely Salgado Mendoza, César Del Ángel Rodríguez Torres, Leonel González Vidales and Mauricio De La Cruz Ramos García
Affiliation: Tecnológico Nacional de México. Instituto Tecnológico de Ciudad Altamirano
Category:
Keywords: Random noisy strategies, dynamic encryption methods, applications of AI, cybersecurity strategies
ABSTRACT. Digital data theft represents a major threat to organizations. This research examines cybersecurity approaches that integrate random noise mechanisms bases on Artificial Intelligence (IA). We introduce an innovative solution called the random noisy RSA strategy, which injects noise into ciphertext to enhance security. Our method caters to the demand for adaptive encryption techniques, producing distinct ciphertexts for identical plaintexts. We evaluate its performance against four RSA (Rivest-Shamir-Adleman) variations, demonstrating increased noise injection and promising results. Such methods could impede decryption attempts by cybercriminals, presenting a fresh way to strengthen data protection. Tests confirm that random noise-based strategies are effective at mitigating cyber risks. Our research equips organizations with a valuable resource to safeguard their digital data.
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