journal-of-discrete-mathematical-sciences-and-cryptography Journal of Discrete Mathematical Sciences and Cryptography 2169-0065 0972-0529 Taru Publications 10.47974/JDMSC-2531 Slime mould optimization-enhanced RSA (SMO-RSA) : A bio-inspired approach to secure data communication Sharma Neha Department of Data Science and Engineering, Vill Dehmi kalan, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India Yadav Narendra Singh Department of Information Technology, Vill Dehmi kalan, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India Agarwal Gaurav Department of Information Technology and Engineering, Amity University in Tashkent, Tashkent, 100128, Uzbekistan Izhar Jaweria Department of Computing, Westford Education Group, Demont Institute of Management Technology, Dubai, 73000, U.A.E. 29 1 261 269 31 12 2025

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 (

 RSA cryptography Slime mould algorithm Bio-inspired security Adaptive key generation Prime number optimization Industry 4.0 access open retracted no