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@article{142534,
        author = {Mano Ranjanh and N.Sukhendar Reddy and Maraty Meena},
        title = {Privacy-Preserving Public Auditing For Secure Cloud Storage},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {3},
        pages = {17-22},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142534},
        abstract = {Cloud computing is an internet based computing which allows sharing of services. Cloud computing allows users to use applications without installation any application and access their personal files and application at any computer with internet or intranet access. Numerous users place their data in the cloud, so exactness of data and security is a prime concern. To ensure the exactness of data, we contemplate the task of allowing a third party auditor (TPA), on behalf of the cloud client, to validate the integrity of the data stored in the cloud., the auditing procedure should carry in no new susceptibilities towards user data privacy, and present no supplementary online burden to user. In this we suggest a secure cloud storage system supporting privacy-preserving public auditing. We promote our result to allow the TPA to perform audits for multiple users concurrently and proficiently. Extensive security and performance analysis show the proposed schemes are provably protected and highly efficient.},
        keywords = {Homomorphic Linear Authenticator, Third Party Auditor, Public Auditing, Zero knowledge, Data storage, Cloud computing.},
        month = {},
        }