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Enabling Identity-Based Data Security with Cloud

Publication Type : Conference Paper

Publisher : Springer Link

Source : Lecture Notes on Data Engineering and Communications Technologies

Url : https://doi.org/10.1007/978-981-16-3728-5_39

Campus : Kochi

School : School of Arts and Sciences

Year : 2021

Abstract : In disseminated stockpiling organizations, customers store data indirectly onto the cloud and comprehend the data giving to others. Far away information uprightness taking a gander at is proposed to the attestation the respectability of the informational index aside in the cloud. In some fundamental appropriated amassing frameworks, for example, the EHRs structure, the cloud document may give touchy data. At the point when the cloud report is shared, the delicate information ought not to be known to anybody. Bringing the whole shared report can comprehend the inclusion of the collaborating records; however, it does not permit different gatherings to utilize this shared record instructions to recognize data offering to sensitive information stowing away in distant data uprightness exploring still has not been researched up to now. To address this issue, this paper proposes a distant data genuineness surveying plan that recognizes data offering to sensitive information concealing. To accomplish high security, this paper proposes security calculations for producing the private key and for making record label name for relating information. The entire information's are encoded twice prior to shipping off cloud. Just the information proprietor can see the entire information from cloud. Personality-based trustworthiness examining ensure that different clients could just see the required information by concealing delicate data safely.

Cite this Research Publication : Sundaresan, A., Vinod, M., Nair, S.M., Rajalakshmi, V.R. (2022). Enabling Identity-Based Data Security with Cloud. In: Smys, S., Bestak, R., Palanisamy, R., Kotuliak, I. (eds) Computer Networks and Inventive Communication Technologies . Lecture Notes on Data Engineering and Communications Technologies, vol 75. Springer, Singapore. https://doi.org/10.1007/978-981-16-3728-5_39

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