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
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;
Conference_Titel :
Emerging Security Technologies (EST), 2014 Fifth International Conference on
Conference_Location :
Alcala de Henares
DOI :
10.1109/EST.2014.12
