Post Quantum Security Enhancement Scheme in Blockchain Embedded Smart Technologies

Abstract

Genetic algorithm is an exploration and evolutionary algorithm which is based on natural selection. It optimizes problem solution and reduces the chances of producing one ciphertext for the same plaintext. Especially, when the traditional security approaches would fail in the presence of quantum computers due to Shor s algorithm; genetic approach feels like a suitable solution against the quantum computing attack. In this research work, we propose combining genetic approach and blockchain for the securitization of the futuristic smart technologies in the quantum era. We have explored blockchain s immutability property and genetic approach s confidentiality to develop a double crossover-based security framework for enhanced security. Random values and plain images are added to the diffusion step to enhance the security. Several applications like smart vehicles, smart grids, smart healthcare, smart education and smart currency are simulated and the proposed algorithm is tested on those applications. Strength of the algorithm is checked using several parameters like information entropy analysis, chi-square test analysis of cipher image, correlation analysis, plaintext and key sensitivity test and time complexity analysis. Both the theoretical analysis and the simulations confirm the security of the proposed algorithm for the chosen dataset. newline