Analysis of K-Anonymity for Homogeneity Attack

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Provided by: The World
Topic: Data Management
Format: PDF
Now-a-days, the authors are dealing with a massive amount of data that contain person-specific information. From the person-specific data it is easy to extract the sensitive information about a person by the process of linking. The size of data is increasing exponentially day-by-day. It is as much important to provide privacy as to provide utility. Objective of privacy preserving data mining is to serve knowledge extraction without leakage of private sensitive information, k-anonymity approach is a group based anonymization approach devised to achieve this objective.
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