期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：8246-8249
出版社：TechScience Publications
摘要：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, we use a mathematical function hadamard matrix. All the computation multiplied by the hadamard matrix. Using this, security and privacy of the individual’s data increased. Thus, we can say that this protocol fulfill the requirement of privacy and security
关键词：Privacy preservation; secure multiparty;computation (SMC); secures sum protocol; hadamard matrix.
