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Privacy-Oriented Data Mining by Proof Checking

Amy FeltyContact Information and Stan MatwinContact Information

(4)  SITE, University of Ottawa, K1N 6N5 Ottawa, Ontario, Canada
(5)  LRI — Bôt 490, Université Paris-Sud, 91405 ORSAY CEDEX, France
Abstract
This paper shows a new method which promotes ownership of data by people about whom the data was collected. The data owner may preclude the data from being used for some purposes, and allow it to be used for other purposes. We show an approach, based on checking the proofs of program properties, which implements this idea and provides a tool for a verifiable implementation of the Use Limitation Principle. The paper discusses in detail a scheme which implements data privacy following the proposed approach, presents the technical components of the solution, and shows a detailed example. We also discuss a mechanism by which the proposed method could be introduced in industrial practice.
On leave from SITE, University of Ottawa, Canada

Contact Information Amy Felty
Email: afelty@site.uottawa.ca

Contact Information Stan Matwin
Email: stan@site.uottawa.ca
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