Information Integration and Analysis: A Semantic Approach to Privacy

Abstract

The balance between privacy and security concerns is a hotly debated topic, especially as government (and private) entities are able to gather and analyze data from several disparate sources with ease. This ability to do large scale analytics of publicly accessible data leads to significant privacy concerns. In particular, for the government, there is the fear of a fishing expedition against individuals. The model in this paper describes a way to address these concerns in a multi-user and multi-database owner environment. The model provides an assurance system where database owners are able to test and audit the assurances given by users thereby increasing the trust in the system. The concept of segregating data used for processing from data needed for final end use and providing different levels of access to them through a mediator machine has been used. The audit component consisting of a justification mechanism increases the trust in the system.