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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 2, ISSUE 9, SEPTEMBER 2013

Scalable and Efficient Provable Data Possession

HADASSA KATTA, VIVEK KOLLA, P RAJA RAO Department of Computer Science, Department of Computer Science M Tech Student, Dept., of CSE, QIS College of Engg., & Technology, Ongole, Prakasamdt, AP Assistant Professor, Dept., of CSE, QIS College of Engg., & Technology, Ongole, Prakasamdt, AP Project Lead, Polaris Financial Technology Ltd, Hyderabad, Ranga Reddy Dt, AP

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Abstract: Cloud storage has become an attractive and cost effective alternative for enterprises to outsource their valuable business data. However, there are security concerns pertaining to the integrity of data as the cloud server is treated as “untrusted”. To overcome this problem many security schemes came into existence. Recently Zhu et al. presented a technique known as Provable Data Possession (PDP) for data integrity in cloud with distributed storage mechanisms. They considered multiple cloud service providers to store data in cooperative fashion. Their solution makes use of homomorphic verifiable response indeed and multi-prover zero-knowledge system for ensuring data integrity. In this paper we practically implement the PDP scheme proposed by Zhu et al. and build a prototype application to demonstrate the proof of concept. The empirical results reveal that the PDP scheme is very effective and can be used in real time multi-cloud environments.

Keywords: Cloud computing, outsourcing, multiple cloud, and cooperative data possession

How to Cite:

[1] HADASSA KATTA, VIVEK KOLLA, P RAJA RAO Department of Computer Science, Department of Computer Science M Tech Student, Dept., of CSE, QIS College of Engg., & Technology, Ongole, Prakasamdt, AP Assistant Professor, Dept., of CSE, QIS College of Engg., & Technology, Ongole, Prakasamdt, AP Project Lead, Polaris Financial Technology Ltd, Hyderabad, Ranga Reddy Dt, AP, “Scalable and Efficient Provable Data Possession,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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