DNA-based cryptosystem integrating Wichmann-Hill and mixed congruence algorithms for enhanced data security
Year: 2025
Type: article
Abstract: This paper proposes a DNA-based cryptosystem integrating the Wichmann-Hill Algorithm (WHA) and Mixed Congruence Algorithm (MCA) to enhance encryption security. By employing WHA and MCA as hybrid pseudo-random number generators (PRNGs), the system dynamically generates encryption keys, improving randomness and attack resistance. Binary data is encoded into DNA sequences and encrypted using complementary rules, XOR, and permutations. The combined entropy from WHA and MCA ensures highly random outputs, validated by NIST tests, with a key size of ~76 bits for brute-force resistance. Performance evaluations confirm real-time efficiency, while multi-layered encryption enhances cryptanalytic defense. This framework demonstrates the potential of DNA-based cryptography integrated with advanced PRNGs to address modern security challenges and enhance bio-inspired encryption methodologies
DOI: 10.59035/gghy6238
Author: Ahmed Alshammari
Institution: University of Ha'il
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4408041788