文章基本信息

标题：A review on security in Data Mining
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作者：Amarpreet Singh ; Vinay Bhardwaj
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2015
卷号：15
期号：6
页码：70-74
出版社：International Journal of Computer Science and Network Security
摘要：Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the protection of sensible information has a relevant role. Thus privacy is becoming an increasingly important issue in many data mining applications. For that privacy secure distributed computation, which was done as part of a larger body of research in the theory of cryptography, has achieved remarkable results. These results were shown using generic constructions that can be applied to any function that has an efficient representation as a circuit. A relatively new trend shows that classical access control techniques are not sufficient to guarantee privacy when data mining techniques are used in a malicious way. Privacy preserving data mining algorithms have been recently introduced with the aim of preventing the discovery of sensible information.
关键词：data mining