Optimization of Lattice-Based Cryptographic Key Generation using Genetic Algorithms for Post-Quantum Security

The progress of quantum computing has posed serious threats to classical cryptographic systems, necessitating much research into developing post-quantum cryptography (PQC). Of the schemes available in PQC, the strongest candidates appear to be lattice-based cryptography (LBC), which encompasses an ample security basis and good computation efficiency. However, practically implementing LBC is faced with key-generation and optimization difficulties, mainly because of its enormous key sizes and computational overhead. The research proposes a novel concept whereby genetic algorithms (GAs) are blended with LBC to increase the merits of key generation while guaranteeing security. Through the evolutionary capacity of GAs, the proposed method optimizes lattice-based keys through selection, crossover, and mutation to ensure high entropy and computationally feasible with experimental results indicating that the GA-based method can cut down memory requirements and computational complexity, making it favorable for resource-constrained environments such as the Internet of Things and embedded systems. The method thus suggested accelerates encryption speed and simultaneously strengthens the security of the optimized key structures. This study emphasizes evolutionary algorithms’ potential to facilitate PQC advancement and provides a scalable and efficient framework for cryptographic systems.