How to Sanitize Data?



Bibliographic Information


Balancing the needs of a data analyst with the privacy needs of a data provider is a key issue when data is sanitized. We treat both the requirements of the analyst and the privacy expectations as policies, and compose the two policies to detect conflicts. The result can be applied to an intermediate data representation to sanitize the relevant pans of the data. We conclude that this method has promise, but more work is needed to determine its effectiveness and limits.

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The definitive version was published in Proceedings of the 13th IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprise, June 2004.