Abstract
Cloud storage is considered to be the most critical factor in decision making for users as it largely scales down the infrastructure in terms of size, cost and design. Considering factors such as local storage c ost, maintenance a single server model can support multi ple users on a needed basis. This raises concerns f or integrity verification i.e., assuring the correctne ss of the data stored available in cloud. The propo sed auditing algorithm suggests and investigates digita l signature for integrity verification. A Modified Version of Elliptic curve digital Signature Algorit hm is proposed for auditing the task. The main focu s of this study is to address problems such as privacy p reserving, public auditing. In addition, the perfor mance of the auditing task is optimized. Data dynamics ha ve been modeled through various data operations suc h as block insertion, deletion and block modification . Extensive theoretical and experimental analysis presented in the paper shows that security, perform ance of the proposed algorithm are improved in term s of verification time of the auditing process.
Highlights
Methods have been proposed for data correctness verification on behalf of cloud users
The Third Party Auditor (TPA) acts as a representative of cloud users who can often check the integrity of the data stored in the cloud
Pujeri / Journal of Computer Science 10 (10): 2077-2087, 2014 considered to be an important factor because the auditing task is done by a third party auditor (Ateniese et al, 2007; Marshal, 2013; Erway et al, 2009; Hao et al, 2011) and the data may be exposed to the TPA
Summary
Methods have been proposed for data correctness verification on behalf of cloud users Pujeri / Journal of Computer Science 10 (10): 2077-2087, 2014 considered to be an important factor because the auditing task is done by a third party auditor (Ateniese et al, 2007; Marshal, 2013; Erway et al, 2009; Hao et al, 2011) and the data may be exposed to the TPA. This kind of complication affects the security of the protocols in cloud computing. Privacy against verifier: The representative of the cloud user audits the outsourced data and reports to the cloud user without acquiring any knowledge of the content that has been verified
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