• DocumentCode
    185854
  • Title

    Modeling Risks in Biometric-Based Authentication Control Systems

  • Author

    Eastwood, S. ; Yanushkevich, Svetlana

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    2
  • Lastpage
    7
  • Abstract
    Contemporary authentication control systems deploy biometric and other supporting technologies. Such systems deal with various risks, which should be well understood and evaluated. This paper introduces an approach to modeling risks and measuring the resulting system performance. This approach is a based on using modeling tools designed from a library of Bayesian network modeling modules. It is explained using the example of border control systems and the corresponding operational scenarios.
  • Keywords
    authorisation; belief networks; biometrics (access control); risk management; Bayesian network modeling modules; biometric technology; biometric-based authentication control systems; border control systems; risk modeling; Authentication; Bayes methods; Computational modeling; Control systems; Probability distribution; Random variables; Bayesian network; authentication system; biometrics; performance measurement; risk analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Security Technologies (EST), 2014 Fifth International Conference on
  • Conference_Location
    Alcala de Henares
  • Type

    conf

  • DOI
    10.1109/EST.2014.12
  • Filename
    6982765