Access control, confidentiality and privacy for video surveillance databases

  • Authors:
  • Bhavani Thuraisingham;Gal Lavee;Elisa Bertino;Jianping Fan;Latifur Khan

  • Affiliations:
  • University of Texas at Dallas;University of Texas at Dallas;Purdue University;UNC-Charlotte;University of Texas at Dallas

  • Venue:
  • Proceedings of the eleventh ACM symposium on Access control models and technologies
  • Year:
  • 2006

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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.