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