Trails Learning Project

Composition and Disclosure of Unlinkable Distributed Databases

by Bradley Malin and Latanya Sweeney.

Abstract

An individualÕs location-visit pattern, or trail, can be leveraged to link sensitive data back to identity. We propose a secure multiparty computation protocol that enables locations to provably prevent such linkages. The protocol incorporates a controllable parameter specifying the minimum number of identities a sensitive piece of data must be linkable to via its trail.

Citation:
Bradley Malin and
Latanya Sweeney. Composition and Disclosure of Unlinkable Distributed Databases. 22nd IEEE International Conference on Data Engineering, (ICDE). Atlanta, GA, April 2006. (PDF).

Related Links


Fall 2007 Data Privacy Lab