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Enabling Data Storage Security by Multiple Auditing Mechanism in Cloud Computing


Affiliations
1 Department of Information Technology, SNS College of Technology, Coimbatore-641 035, India
     

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Storing in cloud enables users to store their data remotely and retrieve on-demand whenever they needed without the burden of local hardware and software management. Though this computing technique is clear, such a service is also relinquishing users in the manner of security risks for their stored data, where they worry about correctness of data in cloud. In order to overcome this new problem and further achieve a secure and dependable storage service, In this paper we have proposed a flexible distributed storage with multiple third party auditing mechanism and utilizing the dynamic token computation, correctness verification, error localization algorithms to ensure the integrity of data stored. The auditing result not only ensures strong cloud storage, but also achieves the identification of misbehaving server.


Keywords

Data Integrity, Dependable Distributed Storage, Error Localization, Cloud Computing, Multiple Third Party Auditors.
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  • Enabling Data Storage Security by Multiple Auditing Mechanism in Cloud Computing

Abstract Views: 148  |  PDF Views: 3

Authors

B. Santhosh
Department of Information Technology, SNS College of Technology, Coimbatore-641 035, India
M. Suguna
Department of Information Technology, SNS College of Technology, Coimbatore-641 035, India

Abstract


Storing in cloud enables users to store their data remotely and retrieve on-demand whenever they needed without the burden of local hardware and software management. Though this computing technique is clear, such a service is also relinquishing users in the manner of security risks for their stored data, where they worry about correctness of data in cloud. In order to overcome this new problem and further achieve a secure and dependable storage service, In this paper we have proposed a flexible distributed storage with multiple third party auditing mechanism and utilizing the dynamic token computation, correctness verification, error localization algorithms to ensure the integrity of data stored. The auditing result not only ensures strong cloud storage, but also achieves the identification of misbehaving server.


Keywords


Data Integrity, Dependable Distributed Storage, Error Localization, Cloud Computing, Multiple Third Party Auditors.