Slime mould optimization-enhanced RSA (SMO-RSA) : A bio-inspired approach to secure data communication

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Authors: Neha Sharma, Narendra Singh Yadav, Gaurav Agarwal, Jaweria Izhar
Cited by: 0

Abstract

This paper introduces Slime Mould Optimization-Enhanced RSA (SMO-RSA), a novel cryptographic algorithm that synergizes the RSA cryptosystem with the bio-inspired Slime Mould Algorithm (SMA) to address critical vulnerabilities in traditional RSA implementations. SMO-RSA employs SMA’s unique oscillatory search mechanism to optimize prime number selection, dynamically generate encryption exponents, and implement adaptive key rotation. Our approach demonstrates three key advancements: (1) 23% faster key generation through parallelized prime exploration, (2) 18% enhanced brute-force resistance via entropy-maximized parameters, and (3) inherent mitigation of Coppersmith-type attacks through optimized prime distance distribution. Benchmark results on 2048-bit keys show maintained encryption/decryption speeds (

Fields of Study & Subjects

Cryptography and Residue Arithmetic Cryptography and Data Security Metaheuristic Optimization Algorithms Research

Publication details

Journal / source
Journal of Discrete Mathematical Sciences and Cryptography
Volume
29
Issue
1
Pages
261–269
Publication date
1 January 2026