10th International Database Engineering and Applications Symposium (IDEAS'06) Probabilistic Internal Privacy Intrusion Detection Delhi, India December 11-December 14 ISBN: 0-7695-2577-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IDEAS.2006.38
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.
Citation:
Xiangdong An, Dawn Jutla, Nick Cercone, "Probabilistic Internal Privacy Intrusion Detection," ideas, pp.317-318, 10th International Database Engineering and Applications Symposium (IDEAS'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||