A Novel Approach to Privacy Preserving Data Publishing

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
The anonymization techniques, such as generalization and bucketization are used for privacy preserving micro data publishing. Here the Generalization loses considerable amount of information, especially for multi dimensional data and the bucketization method, does not prevent membership disclosure and does not apply for data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. A novel technique called slicing has been proposed, which partitions the data both horizontally and vertically. Slicing preserves better data usage than generalization and also can be used for membership disclosure protection. The important advantage of slicing is that it can handle high-dimensional data.

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