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How to sanitize data?

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This paper appears in:
Enabling Technologies: Infrastructure for Collaborative Enterprises, 2004. WET ICE 2004. 13th IEEE International Workshops on
Date of Conference: 14-16 June 2004
Author(s): Bishop, M.
Dept. of Comput. Sci., California Univ., Davis, CA, USA
Bhumiratana, B. ;  Crawford, R. ;  Levitt, K.
Page(s): 217 - 222
Product Type: Conference Publications

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Abstract

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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