Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization

Cloud computing is susceptible to a wide range of security issues since it is decentralized. Inappropriate actors may take advantage of these vulnerabilities. Using a method known as homomorphic encryption, which is a kind of encryption technology, it is possible to encrypt the data that can be accessed from the cloud server. This allows the data to be protected from unauthorized access. The study that has been suggested makes use of the technique of particle swarm optimization to achieve the goal of enhancing the encryption key. There are a lot of individuals who are acquainted with the population-dependent meta-heuristic algorithms that are known as particle swarm optimization techniques. These algorithms are also often referred to as PSO strategies. To developing these algorithms, the patterns of social behaviour that birds display serve as a source of inspiration. The hybrid homomorphic encryption techniques start with a collection of particles that are randomly spread to provide more effective outcomes. This is done to maximize the efficiency of the encryption. When establishing the starting point of these procedures, the quality that is being evaluated is considered as a factor. The results of the simulation make it abundantly evident that the hybrid encryption technique that was offered resulted in an improvement in the encryption process. This is the immediate consequence of the simulation's findings. When compared to the homomorphic encryption that is currently being used, this is a significant difference.