DocumentCode :
226738
Title :
Risk profiler in automated human authentication
Author :
Eastwood, S. ; Yanushkevich, Svetlana
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
140
Lastpage :
147
Abstract :
Risk profiler in this paper is understood as the tool for risk assessment in automated human authentication systems. Authentication of a biometric enable e-passport/ID and the holder of this document (traveler) are the most important functions of such systems. Risks in this procedure are related to both technical and human factors. We developed a profiler tool which can measure the system performance at an arbitrary state of the authentication process. The tool is based on modeling modules, and each is represented by a Belief network and interfacing between the modules. A collection of small modules with reasonably chosen parameters is given as an example, and some examples demonstrating how the modules can be used for inference is also given.
Keywords :
belief networks; message authentication; risk management; automated human authentication system; belief network; biometric enable e-passport; risk assessment; risk profiler; Authentication; Bayes methods; Computational modeling; Joints; Libraries; Probability distribution; Biometrics; authentication systems; belief network; profiling; risks assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/CIES.2014.7011843
Filename :
7011843
Link To Document :
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