Security Management in Decentralized Cloud Storage via Improved Bees Swarm Optimisation Data Slicers

In a network-based model referred to as cloud storage, virtual records are stored in logical pools across multiple servers owned and controlled by cloud service providers. In the cloud, everyone can access on-demand resources like applications, data storage, and servers that can be increased or decreased as needed with ease and efficiency. Slicing data into smaller chunks can be useful for protecting privacy and distributing the workload across the server more evenly. It is through the compiler and a distributed system with an untrusted host that programmes are statistically explained and then transformed to ensure data confidentiality and integrity. This research work deveop an optimization algorithm using improved bees swarm optimization (iBSO) to solve the problem of trust uncertainty while computing the trust between the nodes. Initially, in a distributed system, the encrypted polynomial data is divided into n slices and stored on various servers. To get to the actual polynomial information, the attackers need to get all n slices of the data. The server administrator has access to all of the indexes on the server where the data slices are kept. When retrieving the original polynomial, an administrator can easily access all of the data slices. The simulation is conducted to test the efficacy of trust-based computation using iBSO algorithm and the results show that the iBSO method achieves higher accuracy rate than other methods.