Privacy Preservation for Knowledge Discovery: A Survey
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 9, Issue 5
Abstract
Today’s globally networked society places great demand on the dissemination and sharing of information. Privacy Preservation is an important issue in the release of data for mining purposes. How to efficiently protect individual privacy in data publishing is especially critical. With releasing of microdata such as social security number disease by some organization should contain privacy in data publishing. Data holders can remove explicit identifiers to gain privacy but other attributes which are in published data can lead to reveal privacy to adversary. So several methods such as K-anonymity, L-diversity, T-closeness, (n,t) closeness, (α,k)-anonymization, p-sensitive k-anonymity and others method come into existence to maintain privacy in data publishing
Authors and Affiliations
Jalpa Shah
Keywords
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