期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：1
页码：119-122
出版社：TechScience Publications
摘要：In this work , we have consider the collaborativedata publishing approach in order to anonymize horizontallypartitioned data at multiple data providers. Here we can usetwo different approach of annonymization such asAnonymize-and-Aggregate or Aggregate-and-Anonymize. Inthis proposed system implementation we are going toimplement a data provider-aware anonymization algorithmwith adaptive m-privacy checking strategies . This willprovide us high utility and m-privacy of anonymized datawith higher efficiency. Finally, we are going to propose securemulti-party computation protocols (SMC) for collaborativedata publishing with m-privacy. Here we can use either atrusted third-party (TTP) or Secure Multi-party Computation(SMC) protocols. We have also consider a new type of“insider attack” which may be conducting by data providerswho may use their own data records to infer the data recordscontributed by other data providers.In this literature survey, we have described previous variousapproach for data publishing with their various advantagesand limitation. Also we have described the possible attacks oneach approach. In this paper, we have compared KAnonymity,L-Diversity and t-Closeness approach .
