Access control, confidentiality and privacy for video surveillance databases
Author
Elisa Bertino, Bhavani Thuraisingham, Gal Lavee, Jianping Fan, Latifur Khan
Abstract
In this paper we have addressed confidentiality and privacy for video surveillance databases. First we discussed our overall approach for suspicious event detection. Next we discussed an access control model and accedes control algorithms for confidentiality. Finally we discuss privacy preserving video surveillance. Our goal is build a comprehensive system that can detect suspicious events, ensure confidentiality as well as privacy.
Booktitle
Symposium on Access Control Models and Technologies. Proceedings of the eleventh ACM symposium on Access control models and technologies
Affiliation
Purdue University
Publication Date
2006-00-00