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Efficient and secure auditing scheme for privacy preserving data storage in cloud

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Abstract

An on-demand computing in which data is stored in a remote manner and provision of services is from a pool of resources of computing that is shared is known as Cloud computing. The cloud computing fulfills the need of store and oversee show. Though to get to and secure information, numerous exceptional advancements like parallel and guide diminish strategies are accessible. The burden of usage from maintenance and storage of native data is eliminated and the owner additionally benefits from elimination of the responsibility of security and storage (Gourkhede and Theng, 2014 fourth international conference on communication systems and network technologies (CSNT), pp 677–680, 2014; Modi, J Supercomput 63(2):561–592, 2013; Smys and Bala, Clust Comput 15(3):211–222, 2012). In order to ensure modification of the accuracy of the on-demand data and its due verification on the cloud owners’ behalf, a methodology that is innovative is needed. The encryption and file split up is done using a novel secure cryptography hashing algorithm. Once the data is uploaded the user is provided with a private and public key for trustworthy retrieval of the data file. Those keys are generated using a proposed modified RSA cryptosystem algorithm. A multilevel hash tree algorithm is used to efficiently audit the data file occasionally. The implementation and therefore the results show the potency and efficiency of the proposed algorithm compared to the existing algorithm.

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Authors and Affiliations

  1. Ramanujan Computing Centre, Anna University, Chennai, 600 025, India

    S. Anbuchelian & C. Ramesh

  2. Department of CSE, Kalasalingam Academy of Research and Education, Krishnankoil, 626 126, India

    C. M. Sowmya

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  1. S. Anbuchelian
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  2. C. M. Sowmya
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  3. C. Ramesh
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Correspondence to S. Anbuchelian.

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Anbuchelian, S., Sowmya, C.M. & Ramesh, C. Efficient and secure auditing scheme for privacy preserving data storage in cloud. Cluster Comput 22 (Suppl 4), 9767–9775 (2019). https://doi.org/10.1007/s10586-017-1486-z

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  • DOI: https://doi.org/10.1007/s10586-017-1486-z

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