IMPLEMENTING AN EFFICIENT DATA DEDUPLICATION FRAMEWORK FOR CLOUD STORAGE
J Gnana Jeslin, Pradeep Mohan Kumar · Indian Journal of Computer Science and Engineering · 2022
As cloud computing dramatically increases, cloud service providers are under increased pressure to provide adequate data protection measures security.Cloud storage has become the recommended option to provide catastrophic recovery for users.In contrast to its convenience, customers are extremely worried that large-scale backup data would reduce storage costs.Data deduplication for backup storage is an effective approach.Current approaches for deduplicating cloud resources are not used to provide scalable backup service to cloud backup users and cannot fulfil the biased desire for various backup versions.For new versions of backup, consumers desire to minimize wait time by greater deduplicates and speed, but for older backups it is even more important to save storage costs.However, few studies take into account the problem of storage efficiency.This paper offers a new data deduction system with convergence encryption with blocking level data.The results of experiments demonstrate that the suggested system has an appropriate computational overhead and offers a potential option for data cloud storage and access scenarios in the real world.