Fast Search Processing Over Encrypted Relational Data Using K-Nearest Neighbour Algorithm

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Bhagyashree Ambulkar, Prof. Gunjan Agre

Abstract

Data mining has been used in real time application in a number of areas such as for example financial, telecommunication, biological, and among government agencies and several application handle very sensitive data. So these data remains secure and private.Data encryption is a very strong option to secure the data in databases from unauthorized access and intruder.The previous privacy preserving classification techniques are not feasible for encrypted data of database.In this paper, our proposed method provides privacy-preserving classifier for encrypted data of relational databasesand achieves the better performance for extracting information from encrypted data of relational databases.

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How to Cite
, B. A. P. G. A. (2017). Fast Search Processing Over Encrypted Relational Data Using K-Nearest Neighbour Algorithm. International Journal on Recent and Innovation Trends in Computing and Communication, 5(4), 398–401. https://doi.org/10.17762/ijritcc.v5i4.425
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