December 2024
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24 Reads
International Journal of Management IT and Engineering
Security and specifically data privacy remains a big concern especially in multi tenancy since it brings resource sharing that exposes environment to more security threats such as hacking. Standard data protection techniques provide security measures but are not efficient in dealing with new and complex threats, such as between inhabitant's data leakage. This paper presents a privacy-preserving framework that uses data fragmentation, multi-cloud distribution, and management control through an intermediary entity known as a trusted proxy. Storing such data in segments across the different CSPs means that none of the CSP has complete access to the dataset, improving on the data privacy, reliability, and solidity. The experimentation proves that the framework optimizes privacy and throughput by outperforming a comparable solution targeting privacy-sensitive, multi-tenant systems.