Privacy Preserving for High-dimensional Data Using Anonymization Technique

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
In recent years, privacy-preserving data publishing has seen rapid advances that have lead to an increase in the capability to store and record personal data about consumers and individuals. Maintain the privacy for the high dimensional database has become important aspect. The personal data may be misused, for a variety of purposes. In order to alleviate these concerns, a number of techniques have recently been proposed in order to perform the data mining tasks in a privacy-preserving way.
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