S E M I N A R

 

Anonymization Based Privacy Protection - δ-Presence

 

Mehmet Ercan Nergiz
Department of Computer Science
Purdue University

Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. We present a metric, δ-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. We show 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), and present algorithms for effectively anonymizing to meet δ-presence.

 

DATE: 9 June, 2008, Monday@ 13:40
PLACE: EA 409