文章基本信息

标题：Privacy-Preserving For Collaborative Data Publishing
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作者：V. V. Nagendra kumar ; C. Lavanya
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：3
页码：4566-4569
出版社：TechScience Publications
摘要：This paper mainly deals with the issue of privacy preserving in data mining while collaborating n number of parties and trying to maintain confidentiality of all data providers details while collaborating their database. Here two type of attacks are addressed “insider attack” and “outsider attack”. In insider attack, the data providers use their own records and try to retrieve other data provider details. Formal protection model k-Anonymity, l-diversity, t-closeness are used to protect privacy. Here notion of m-privacy algorithm is used to maintain privacy and secure multiparty computation protocol can also be used for privacy preserving
关键词：Privacy preserving; Anonymization; SMC;Distributed data.