Adaptive Particle Swarm Optimization With Quantum-Inspired Quantum Walks for Robust Image Security

In this paper, we propose a novel image cryptosystem that combines the adapted Particle Swarm Optimization (PSO) algorithm with a quantum-inspired Discrete-time Quantum Walk (DTQW). The proposed approach leverages the strengths of both PSO and DTQW, integrating them to achieve high security and efficiency in image encryption. The main contribution of this work lies in the development of this unique cryptosystem. While previous approaches have separately explored PSO or DTQW, our integration of these two techniques offers a novel and innovative approach. By employing chaotic sequences generated by a 3-D chaotic system and a controlled DTQW model, our cryptosystem demonstrates a high sensitivity to even slight changes in the original image. This sensitivity ensures that minor modifications in the plaintext lead to significant changes in the ciphertext, enhancing the system’s resistance against attacks. Simulation outcomes prove that the proposed encryption mechanism has high security as well as high effectiveness.This makes it well-suited for practical implementation in a post-quantum computing era.