Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 5 , 2022
Privacy Preserving For Cloud Data by Using TPA

Author : M. Harshini 1 K. Venkatakrishna 2 J. Rajasekhar 3

Date of Publication :7th March 2016

Abstract: Cloud computing as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable processing sources (e.g., networks, servers, storage space, applications, and services) that can be rapid provisioned and released with minimal management effort or service provides interaction, without the burden of local information storage space and maintenance. The customers no longer have physical control of the contracted information makes the information reliability protection in cloud processing a complex task particularly for customers with restricted processing sources. Without worrying about the need to verify its reliability customers should be able to just use the cloud storage space. Users resort to a Third party auditor to discover the reliability of outsourced information and be worry free without allowing public review ability for cloud storage space because it is of critical importance. The Third party auditor (TPA) who has expertise and abilities that users do not, can regularly examine the reliability of all the information stored in the cloud on behalf of the customers, which provides a much more easier and affordable way for the customers to ensure the storage space correctness in the cloud. To safely present an effective TPA, the review process should bring in no new weaknesses toward customer information privacy, and present no additional online pressure to customer. Also enable the TPA to perform audits for multiple users at the same time and efficiently.

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