期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICETS
页码：358
出版社：S&S Publications
摘要：This paper mainly deals with the issue ofprivacy preserving in data mining while collaborating nnumber of parties and trying to maintain confidentialityof all data providers details while collaborating theirdatabase. Here two type of attacks are addressed“insider attack” and “outsider attack”. In insiderattack, the data providers use their own records and tryto retrieve other data provider details. Formalprotection model k-Anonymity, l-diversity, t-closenessare used to protect privacy. Here notion of m-privacyalgorithm is used to maintain privacy and securemultiparty computation protocol can also be used forprivacy preserving.
关键词：Privacy preserving; Anonymization; SMC;Distributed data
