Networking and Communication Engineering

S. Hemalatha ¹, S. Alaudeen Basha ¹, N. Premkumar ¹

Affiliations
1 Department of CSE, Kongunadu College of Engineering and Technology, Tamil Nadu, IN

Abstract

In this paper, we propose a upper-bound privacy leakage constraint based approach to identify which intermediate datasets need to be encrypted and which do not, so that privacy preserving cost can be saved while the privacy requirements of data holders can still be satisfied. Cloud computing having a high computation power and storage capacity without any help of the infrastructure to organize the applications to the user. To avoid recomputation intermediate data sets are generated and stored recovering the privacy sensitive information through analyze the multiple intermediate data sets. In such cases, datasets are anonymized rather than encrypted to ensure both data utility and privacy preserving. Privacy preservation of multiple intermediate data sets are create a major problem. But in the existing applications, all the datasets are encrypted and it provides cost effectiveness and efficiency. To verify, which data sets are encrypted and not encrypted. Thus protecting its confidentiality against unintentional errors and attacks.

Keywords

Data Storage Privacy, Encryption and Decryption, Privacy Preserving, Intermediate Dataset, Privacy Upper Bound, Economics of Scale.

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G. Balamurugan ¹, S. Alaudeen Basha ¹, T. Parthiban ¹

Affiliations
1 Kongunadu College of Engineering & Technology, Thottiam, Trichy, IN

Abstract

Cloud computing is used to store the data and provide the service of on demand applications without any maintenance. There is no need of longer physical maintenance for the data. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Public auditability plays the major role for cloud storage. A Third-Party Auditor (TPA) can check the integrity of outsourced data and be worry free. To securely introduce an effective TPA, the auditing process should take in no new vulnerabilities toward user data privacy, and introduce no additional online burden to user. Here cloud storage system is used for the auditing purpose. It should be useful for the multi users. This design should be mainly used for the fast performance in Amazon EC2.

Keywords

Data Storage, Privacy Preserving, Public Auditability, Cloud Computing, Delegation, Batch Verification.

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