Secure Data Deduplication over Distributed Cloud Server Framework with Effective User Revocation and Load Balancing
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Abstract
Nowadays, Cloud Computing is an emerging technology which leads various primitive services like SaaS, IaaS, and PaaS. Data deduplication mechanism is widely used to improve the bandwidth and storage space by removing duplicate copies of data from distributed cloud servers. In a multi-owner manner, data is stored and shared on a distributed cloud server architecture, and we have noticed some challenging issues, i.e., Users Privacy, Data Integrity, Load Balancing, and Dynamic Ownership changes in attributes, i.e., User revocation issues. To address the above challenges, we suggested a novel framework for Secure Data Deduplication over Distributed Cloud Server Framework with Effective User Revocation and Load Balancing Management. In our proposed framework, Block level hashing is pragmatic for every outsourced data and distributed into chunks and stored on distributed cloud servers. PoW protocol trappings secured data deduplication and also provide an optimized solution for user revocation and load balancing issues. Our projected approach is effective as the previous schemes while the added computational in the clouds is negligible.
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