A Method for Privacy Preserving Data Mining in Secure Multiparty Computation Using Hadamard Matrix

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Provided by: Creative Commons
Topic: Security
Format: PDF
Secure multiparty computation allows multiple parties to participate in a computation. SMC (Secure Multiparty Computation) assumes n parties where n > 1. All the parties jointly compute a function. Privacy preserving data mining has become an emerging field in the secure multiparty computation. Privacy preserving data mining preserves the privacy of individual's data. Privacy preserving data mining outputs have the property that the only information learned by the different parties is only the output of the algorithm. In this paper, the authors use a mathematical function hadamard matrix. All the computation multiplied by the hadamard matrix.
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