Anonymous subject identification and privacy information management in video surveillance

Ying Luo, Sen ching S. Cheung, Riccardo Lazzeretti, Tommaso Pignata, Mauro Barni

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


The widespread deployment of surveillance cameras has raised serious privacy concerns, and many privacy-enhancing schemes have been recently proposed to automatically redact images of selected individuals in the surveillance video for protection. Of equal importance are the privacy and efficiency of techniques to first, identify those individuals for privacy protection and second, provide access to original surveillance video contents for security analysis. In this paper, we propose an anonymous subject identification and privacy data management system to be used in privacy-aware video surveillance. The anonymous subject identification system uses iris patterns to identify individuals for privacy protection. Anonymity of the iris-matching process is guaranteed through the use of a garbled-circuit (GC)-based iris matching protocol. A novel GC complexity reduction scheme is proposed by simplifying the iris masking process in the protocol. A user-centric privacy information management system is also proposed that allows subjects to anonymously access their privacy information via their iris patterns. The system is composed of two encrypted-domain protocols: The privacy information encryption protocol encrypts the original video records using the iris pattern acquired during the subject identification phase; the privacy information retrieval protocol allows the video records to be anonymously retrieved through a GC-based iris pattern matching process. Experimental results on a public iris biometric database demonstrate the validity of our framework.

Original languageEnglish
Pages (from-to)261-278
Number of pages18
JournalInternational Journal of Information Security
Issue number3
StatePublished - Jun 1 2018

Bibliographical note

Publisher Copyright:
© 2017, Springer-Verlag GmbH Germany.


  • Anonymous subject identification
  • Garbled circuit
  • Privacy information management
  • Privacy protection
  • Video surveillance

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications


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