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- W3094620732 abstract "Right from the point when the customers are trading their own private / confidential information to any outsider or to the cloud, by then there is a lot of obligation with respect to both securities as well as consistency. The re-appropriating process is computationally secure on the off chance that it is majorly carried-out without divulging to the next outside operator or cloud server, either first information or the real answer for the calculations. Secure multiparty computation processes a specific capacity without uncovering their private data. Homomorphic encryption technology is another arrangement which can function well with this circumstance. In homomorphic encryption strategy, ciphertext ought to be sent-over to the cloud, the scientific calculations are carried out on the ciphertext itself. In the event that the resultant of the calculation is decrypted, the right plaintext outcome must be acquired. In this paper, an extensive state of the art review is presented to analyse the existing protocols in this domain. We given the comprehensive procedure of proposed Homomorphic Encryption protocol for cloud data security. Security analysis along with the experimental simulation results for our proposed procedure are also discussed in the paper." @default.
- W3094620732 created "2020-10-29" @default.
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- W3094620732 date "2020-07-01" @default.
- W3094620732 modified "2023-09-23" @default.
- W3094620732 title "Privacy-Cheating Discouragement: A New Homomorphic Encryption Scheme for Cloud Data Security" @default.
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- W3094620732 doi "https://doi.org/10.1109/icccnt49239.2020.9225481" @default.
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