2020
DOI: 10.18100/ijamec.801157
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A hybrid approach of homomorphic encryption and differential privacy for privacy preserving classification

Abstract: Privacy preserving data mining is a substantial research area that aims at protecting the privacy of individuals while enabling to perform data mining techniques. In this study, we propose a secure protocol that fulfils the privacy restriction by combining homomorphic encryption with differential privacy and integrate this protocol into Holte's One Rule which is a simple, but accurate and efficient classification algorithm. The proposed method allows a researcher to get the answers of his/her queries to build … Show more

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References 25 publications
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