Design and Security Analysis of Cryptographic Protocol for Privacy-Preserving Data Mining

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In the process of data mining, there exists a problem about privacy breach because we need to deal with health data, personal preferences, etc. There are approaches to privacy preserving data mining in which random noisy data are added to the original data or computation and communication are performed without breaking the structure of original data. In this research, we designed cryptographic protocols whose security can be proved in a theoretical way. For the security model, we use Universal Composability (UC) in which combining several protocols can be done securely. We designed protocols such as oblivious transfer for data mining whose security was proved only in the previous security model, and proved the security in the notion of UC.