Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 5
Approved TPA along with Integrity Verification in Cloud
Krathika A
10.7753/IJCATR0505.1010
keywords : Cloud Computing, Data Security, TPA, Fine-Grained Data Updates, RMHT Algorithm
Cloud computing is new model that helps cloud user to access resources in pay-as-you-go fashion. This helped the firm to reduce high capital investments in their own IT organization. Data security is one of the major issues in cloud computing environment. The cloud user stores their data on cloud storage will have no longer direct control over their data. The existing systems already supported the data integrity check without possessions of actual data file. The Data Auditing is the method of verification of the user data which is stored on cloud and is done by the TTP called as TPA. There are many drawbacks of existing techniques. First, in spite some of the recent works which supports updates on fixed-sized data blocks which are called coarse-grained updates, do not support for variable-sized block operations. Second, an essential authorization is missing between CSP, the cloud user and the TPA. The newly proposed scheme will support for Fine-grained data updates on dynamic data using RMHT algorithm and also supports for authorization of TPA.
@artical{k552016ijcatr05051010,
Title = "Approved TPA along with Integrity Verification in Cloud",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="5",
Pages ="292 - 294",
Year = "2016",
Authors ="Krathika A"}
The paper proposes fine-grained data updates can fully support authorized auditing.
Overhead is reduced for big data applications with a large number of frequent small updates.
Auditability-aware data scheduling is investigated in cloud computing.
For authentication purpose Merkle Hash Tree technique is carried out.