Probabilistic Internal Privacy Intrusion Detection
Xiangdong An, Dawn Jutla, Nick J. Cercone · 2006
Many organizations need to maintain a lot of private data to run their businesses. Private data could be violated by both the inside and the outside intruders. In this paper, we propose a probabilistic method to detect insider privacy intrusion in database systems