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Bridging Number-Theoretic Primality Testing And Algorithmic Optimization: An Adaptive Cryptographic Framework

Tran Minh Thanh, Vo Hoai Viet · 2026 · arXiv

DOI: 10.48550/arXiv.2610.30935 · open-access PDF

Spanish

La seguridad de los modernos sistemas criptográficos de clave pública, como RSA, Diffie-Hellman y ECC, depende totalmente de la intractabilidad computacional de la factorización de números enteros y de los problemas de logaritmos discretos. Para que funcionen estos algoritmos asimétricos, un requisito fundamental es que el sistema debe ser capaz de generar, probar y demostrar simultáneamente la primacía de números extraordinariamente grandes.

Machine translation (Meta M2M100); the English original follows.

Abstract

The security of modern public-key cryptographic systems, such as RSA, Diffie-Hellman, and ECC, depends entirely on the computational intractability of the integer factorization and discrete logarithm problems. For these asymmetric algorithms to operate, a core requirement is that the system must be capable of generating, testing, and simultaneously proving the primality of extraordinarily large numbers. To meet those requirements, this study proposes a comprehensive framework, bridging clas- sical number theory with modern machine learning models and optimization algorithms. Specifically, the

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