New privacy preserving clustering methods for secure multiparty computation

Abstract

Many researches on privacy preserving data mining have been done. Privacy preserving data mining can be achieved in various ways by use of randomization techniques, cryptographic algorithms, anonymization methods, etc. Further, in order to increase the security of data mining, secure multiparty computation (SMC) has been introduced. Most of works in SMC are… (More)
DOI: 10.5430/air.v6n1p27

Topics

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