期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2011
卷号：1
期号：3
页码：270-276
出版社：Technopark Publications
摘要：The security of the large database that contains certain crucial information, it will become a serious issue when sharing data to the network against unauthorized access. Privacy preserving data mining is a new research trend in privacy data for data mining and statistical database. Association analysis is a powerful tool for discovering relationships which are hidden in large database. Association rules hiding algorithms get strong an efficient performance for protecting confidential and crucial data. Data modification and rule hiding is one of the most important approaches for secure data. The objective of the proposed Weight Based Sorting Distortion (WBSD) algorithm is to distort certain data which satisfies a particular sensitive rule. Then hide those transactions which support a sensitive rule and assigns them a priority and sorts them in as-cending order according to the priority value of each rule. Then it uses these weights to compute the priority value for each transaction according to how weak the rule is that a transaction supports. Data distortion is one of the important methods to avoid this kind of scalability issues.
关键词：Association rule hiding; Apriori algorithm; Privacy Preserving Data mining; K-anonymity
