Publication Details

Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation

YANUSHKEVICH Svetlana, EASTWOOD Shawn C., DRAHANSKÝ Martin and SHMERKO Vlad. P. Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation. Journal of Defence Modeling and Simulation, vol. 15, no. 1, 2016, pp. 95-109. ISSN 1548-5129. Available from: http://dms.sagepub.com/content/early/2016/07/28/1548512916660637.full.pdf?ijkey=R9SCdz5xzrtfIce&keytype=finite
Czech title
Porozumění a taxonomie nejistoty v modelování, simulaci a profilování rizik pro automatizaci hraniční kontroly
Type
journal article
Language
english
Authors
Yanushkevich Svetlana, Dr. (UCalgary)
Eastwood Shawn C. (UCalgary)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
Shmerko Vlad. P. (UCalgary)
URL
Keywords
Uncertainty taxonomy, Admiralty Code, automated border control, Bayesian network, watchlist technology, Dempster-
Shafer metric
Abstract
This paper addresses the problem of trust in Modeling and Simulation (M&S) technologies, and uncertainty in applications to homeland security. The key goal of this paper is an extension of the notion of trusted M&S techniques for traveler risk assessment in mass-transit applications such as e-borders. Theories of uncertainty suggest that different understandings of uncertainty result in different mechanisms of its reduction. We show that a taxonomy of uncertainty that is accepted in philosophical studies, as well as the NATO methodology of uncertainty assessment (known as the Admiralty Code), can be useful in M&S. This paper overviews various approaches to M&S and focuses on a framework that is based on multi-source fusion mechanisms using Dempster Shafer (DS) theory. The DS metric is useful for the development of simulators, recommender machines, and risk profilers when expert knowledge is given in an imprecise form. The difference between the Bayesian and DS metrics is introduced via a demonstrative experiment from the area of traveler risk assessment using a biometric-enabled watchlist.
Published
2016
Pages
95-109
Journal
Journal of Defence Modeling and Simulation, vol. 15, no. 1, ISSN 1548-5129
Publisher
SAGE Publications
DOI
UT WoS
000419383300008
EID Scopus
BibTeX
@ARTICLE{FITPUB10975,
   author = "Svetlana Yanushkevich and C. Shawn Eastwood and Martin Drahansk\'{y} and P. Vlad. Shmerko",
   title = "Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation",
   pages = "95--109",
   journal = "Journal of Defence Modeling and Simulation",
   volume = 15,
   number = 1,
   year = 2016,
   ISSN = "1548-5129",
   doi = "10.1177/1548512916660637",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10975"
}
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