Towards a Multidisciplinary Framework to Include Privacy in the Design of Video Surveillance Systems

  • Zhendong Ma
  • Denis Butin
  • Francisco Jaime
  • Fanny Coudert
  • Antonio Kung
  • Claire Gayrel
  • Antonio Maña
  • Christophe Jouvray
  • Nathalie Trussart
  • Nathalie Grandjean
  • Víctor Manuel Hidalgo
  • Mathias Bossuet
  • Fernando Casado
  • M. Carmen Hidalgo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8450)

Abstract

Privacy impacts of video surveillance systems are a major concern. This paper presents our ongoing multidisciplinary approach to integrate privacy concerns in the design of video surveillance systems. The project aims at establishing a reference framework for the collection of privacy concepts and principles, the description of surveillance contexts, surveillance technologies, and accountability capabilities.

Keywords

Video surveillance privacy accountability multidisciplinarity SALT PARIS 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Increasing Resilience in Surveillance Societies (IRISS), http://irissproject.eu
  2. 2.
    PrivAcy pReserving Infrastructure for Surveillance (PARIS), http://www.paris-project.org
  3. 3.
    Surveillance, Privacy and Ethics (SAPIENT), http://www.sapientproject.eu
  4. 4.
    Surveillance, Privacy and Security (SurPRISE), http://surprise-project.eu
  5. 5.
    The VideoSense Network of Excellence, http://www.videosense.eu
  6. 6.
    Article 29 Data Protection Working Party: Opinion 3/2010 on the principle of accountability (2010)Google Scholar
  7. 7.
    Ashley, P., Hada, S., Karjoth, G., Powers, C., Schunter, M.: Enterprise Privacy Authorization Language (EPAL). Tech. rep. IBM Research (2003)Google Scholar
  8. 8.
    Butin, D., Chicote, M., Le Métayer, D.: Log Design for Accountability. In: 2013 IEEE Security & Privacy Workshop on Data Usage Management, pp. 1–7. IEEE Computer Society (2013)Google Scholar
  9. 9.
    Butin, D., Chicote, M., Le Métayer, D.: Strong Accountability: Beyond Vague Promises. In: Gutwirth, S., Leenes, R., De Hert, P. (eds.) Reloading Data Protection, pp. 343–369. Springer (2014)Google Scholar
  10. 10.
    Cavallaro, A.: Privacy in Video Surveillance. IEEE Signal Processing Magazine 24(2), 166–168 (2007)CrossRefMathSciNetGoogle Scholar
  11. 11.
    Cederquist, J., Corin, R., Dekker, M., Etalle, S., den Hartog, J.: An Audit Logic for Accountability. In: Sahai, A., Winsborough, W. (eds.) Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks, pp. 34–43. IEEE Computer Society Press (2005)Google Scholar
  12. 12.
    European Commission: Proposal for a Regulation of the European Parliament and of the Council on the Protection of Individuals with Regard to the Processing of Personal Data and on the Free Movement of such Data (2012)Google Scholar
  13. 13.
    Finn, R.L., Wright, D., Friedewald, M.: Seven Types of Privacy. In: Gutwirth, S., Leenes, R., Hert, P.D., Poullet, Y. (eds.) European Data Protection: Coming of Age, pp. 3–32. Springer (2013)Google Scholar
  14. 14.
    Gayrel, C., Trussart, N., Coudert, F., Maña, A., Jaime, F., Hidalgo, C., Casado, F., Ma, Z., Strobl, B., Hidalgo, V.M., Bossuet, M., Le Métayer, D., Kung, A., Jouvray, C.: PARIS Deliverable 2.1: Contexts and Concepts for SALT Frameworks, http://www.paris-project.org/images/Paris/pdfFiles/PARIS_D2.1_v1.0.pdf
  15. 15.
    Gill, M., Spriggs, A.: Home Office Research Study 292: Assessing the impact of CCTV (2005), https://www.cctvusergroup.com/downloads/file/Martin%20gill.pdf
  16. 16.
    Russo, S.: Digital Video Surveillance: enhancing physical security with analytic capabilities (2008), http://www-935.ibm.com/services/us/gts/pdf/sp_wp_digital-video-surveillance.pdf
  17. 17.
    Senior, A.W. (ed.): Protecting Privacy in Video Surveillance. Springer (2009)Google Scholar
  18. 18.
    Senior, A.W., Pankanti, S., Hampapur, A., Brown, L.M.G., ITian, Y., Ekin, A., Connell, J.H., Shu, C.F., Lu, M.: Enabling Video Privacy through Computer Vision. IEEE Security & Privacy 3(3), 50–57 (2005)CrossRefGoogle Scholar
  19. 19.
    Studer, R., Benjamins, V.R., Fensel, D.: Knowledge Engineering: Principles and methods. Data Knowl. Eng. 25(1-2), 161–197 (1998)CrossRefMATHGoogle Scholar
  20. 20.
    Trabelsi, S., Njeh, A., Bussard, L., Neven, G.: PPL Engine: A Symmetric Architecture for Privacy Policy Handling. W3C Workshop on Privacy and data usage control (2010)Google Scholar
  21. 21.
    Webster, C.W.R., Töpfer, E., Klauser, F.R., Raab, C.D. (eds.): Video Surveillance: Practices and Policies in Europe. IOS Press (2012)Google Scholar
  22. 22.
    Wright, D., Gellert, R., Gutwirth, S., Friedewald, M.: Minimizing Technology Risks with PIAs, Precaution, and Participation. Technology and Society Magazine, IEEE 30(4), 47–54 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Zhendong Ma
    • 1
  • Denis Butin
    • 2
  • Francisco Jaime
    • 3
  • Fanny Coudert
    • 4
  • Antonio Kung
    • 5
  • Claire Gayrel
    • 6
  • Antonio Maña
    • 3
  • Christophe Jouvray
    • 5
  • Nathalie Trussart
    • 6
  • Nathalie Grandjean
    • 6
  • Víctor Manuel Hidalgo
    • 7
  • Mathias Bossuet
    • 8
  • Fernando Casado
    • 3
  • M. Carmen Hidalgo
    • 3
  1. 1.Austrian Institute of TechnologyAustria
  2. 2.Inria, Université de LyonFrance
  3. 3.Universidad de MálagaSpain
  4. 4.KU Leuven - Interdisciplinary Centre for Law & ICT - iMindsBelgium
  5. 5.TRIALOGAustria
  6. 6.Université de NamurBelgium
  7. 7.Visual ToolsSpain
  8. 8.THALESGreece

Personalised recommendations