Data deduplication is one of the most important Data compression techniques used for to removing the duplicate copies of repeating data and it is widely used in the cloud storage for the purpose of reduce the storage space and save bandwidth. To keep the confidentiality of sensitive data while supporting the deduplication, to encrypt the data before outsourcing convergent encryption technique has been proposed .To better protect data security, this project makes the first attempt to formally address the problem of authorized data deduplication .Different from the traditional deduplication system, differential benefits of the user are further considered the duplicate check besides the data itself. Hybrid cloud architecture contains several new deduplication constructions supporting authorized duplicate check. The proposed security models contain the demonstration of security analysis scheme. As a proof of concept, contains the implementation framework of proposed authorized duplicate check scheme and conduct testbed experiments using these prototype. In proposed system contain authorized duplicate check scheme incurs minimal overhead compared to normal operations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.