• DocumentCode
    1920289
  • Title

    Situating anonymization within a privacy risk model

  • Author

    Shapiro, Stuart S.

  • Author_Institution
    Homeland Security Syst. Eng. & Dev. Inst., MITRE Corp., Bedford, MA, USA
  • fYear
    2012
  • fDate
    19-22 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Privacy risk analysis of complex socio-technical systems suffers from an inadequate risk model that focuses primarily on some form of Fair Information Practice Principles (FIPPs). Anonymization as a privacy risk control suffers from an emphasis on risk of failure, neglecting the circumstances surrounding its selection as a risk control in the first place. By interrelating an enhanced privacy risk model that goes beyond FIPPs and an integrated anonymization framework, the selection and implementation of anonymization as a privacy risk control can be more systematically considered and carried out. The Science and Technology Directorate of the U.S. Department of Homeland Security has sponsored development of both an integrated anonymization framework and an enhanced privacy risk model to support more effective privacy risk management. Both of these are described at a high level and their interoperability illustrated by application to the Google Street View controversy.
  • Keywords
    data privacy; risk analysis; fair information practice principles; google street view controversy; inadequate risk; integrated anonymization; privacy risk analysis; privacy risk control; privacy risk management; privacy risk model; socio technical systems; Google; Licenses; Modeling; Privacy; Risk management; Vehicles; anonymization; informational privacy; privacy in socio-technical systems; privacy risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference (SysCon), 2012 IEEE International
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4673-0748-2
  • Type

    conf

  • DOI
    10.1109/SysCon.2012.6189494
  • Filename
    6189494