An Optimized Genetic Algorithm-Based Non-Commutative Encryption Method for Securing Data in the Cloud

Abstract

This research introduces a novel non-commutative encryption approach designed to enhance data protection in the context of cloud computing. Leveraging the power of Optimized Genetic Algorithms (OGA), the proposed method aims to fortify the security of sensitive information by introducing non-commutative cryptographic techniques. Cloud computing, while offering unparalleled convenience and scalability, poses inherent security challenges, making robust encryption crucial for safeguarding user data. Through the use of a non-commutative encryption technique, this work presents a novel approach to Quantum Key Distribution (QKD). The integration of genetic algorithms serves to optimize the encryption process, ensuring a balance between computational efficiency and heightened security. There have been several data recovery procedures proposed by researchers, but none of them have shown to be dependable or useful. The suggested method allows users to access data from any backup server if the main cloud server becomes unreliable and cannot provide users with data. In this paper, they perform the analysis based on several parameters such as encryption time, decryption time, success rate, failure rate, throughput, and Avalanche effect. After comparing the proposed work with existing methods, the proposed method has low encryption (312ms)/decryption time (314ms), and a high success rate (100ms)/ failure rate (96ms).