Study of Hiding Sensitive Data in Data Mining Using Association Rules
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: This paper describes Apriori algorithm for association rules for hiding sensitive data in data mining if Large data contain sensitive information that data must be protected from the unauthorized users. Here, we are going to hide this sensitive information in data mining using association rules, when we are going to apply rules for data that time it will falsely hidden information and fake rules falsely generated. So here, we examine confidentiality issues of a broad category of rules, which are called association rules. If the disclosure risk of some of these rules are above a certain privacy threshold, those rules must be characterized as sensitiveinformation in some cases sensitive rules should not be disclose to the public since, other things, they may be used for inference of sensitive data, or they may provided these sensitive data to business competitors with an advantages
Authors and Affiliations
Amol L. Deokate, Amruta D. Pawar, Harshal S. Sangle
Keywords
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