Generalization Technique for Data Anonymization in Securing PHR

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Data Management
Format: PDF
Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving micro data publishing. Maximizing data usage and minimizing privacy risk are two conflicting goals. Organizations always apply a set of transformations on their data before releasing it. While determining the best set of transformations has been the focus of extensive work in the database community, most of this paper suffered from one or both of the following major problems: scalability and privacy guarantee.

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