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δ-Presence without Complete World Knowledge

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2 Author(s)
Nergiz, M.E. ; Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey ; Clifton, C.

Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. We presented a new privacy metric, δ-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. It was shown that existing anonymization techniques are inappropriate for situations where δ-presence is a good metric (specifically, where knowing an individual is in the database poses a privacy risk). This article addresses a practical problem with, extending to situations where the data anonymizer is not assumed to have complete world knowledge. The algorithms are evaluated in the context of a real-world scenario, demonstrating practical applicability of the approach.

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:22 ,  Issue: 6 )