A Novel Privacy-Preserving Mechanism That Supports Public Auditing On Shared Data Stored In The Cloud
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 12
Abstract
Numerous use of cloud data e.g., data mining and machine learning do not unavoidablycall for users to download the entire cloud data to local devices. It is since cloud providers such as Amazon can proffer users calculation services in a straight line on largescale data that previously existed in the cloud. In recent times many mechanisms have been planned to permit not only a data owner itself but also a public verifier to powerfullyexecute integrity checking without downloading the total data from the cloud which is referred to as public auditing. In these methods data is alienated into a lot of small blocks where each block is separatelysigned by the owner and aindiscriminate combination of all the blocks in its place of the whole data is retrieved during integrity checking. A public verifier could be a data user e.g., researcher who would like to make the most of the owner’s data via the cloud or a third-party auditor (TPA) who can make availablepractised integrity checking services.
Authors and Affiliations
Anushka K, T. Saidurga
Keywords
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