Keywords
cognitive checkpoint, biometric-enabled watchlist, layered security, risks, modeling, privacy, mass-transit hubs, e-borders, e-interviewer, conflict resolving
Abstract
This paper revisits the problem of individual risk assessment in the layered security model. It contributes to the concept of balancing security and privacy via cognitive-centric machine called an ‘e-interviewer’. Cognitive checkpoint is a cyber-physical security frontier in masstransit hubs that provides an automated screening using all types of identity (attributed, biometric, and biographical) from both physical and virtual worlds. We investigate how the development of the next generation of watchlist for rapid screening impacts a sensitive balancing mechanism between security and privacy. We identify directions of such an impact, trends in watchlist technologies, and propose ways to mitigate the potential risks.
Original Publication Citation
"Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening", Volume 85, Pages 372--385, Computers & Security, 2019
BYU ScholarsArchive Citation
Yanushkevich, Svetlana N.; Sundberg, Kelly W.; Twyman, Nathan W.; Guest, Richard M.; and Shmerko, Vlad P., "Cognitive Checkpoint: Emerging Technologies for Biometric-Enabled Watchlist Screening" (2019). Faculty Publications. 9494.
https://scholarsarchive.byu.edu/facpub/9494
Document Type
Peer-Reviewed Article
Publication Date
2019
Publisher
Computers & Security
Language
English
College
Marriott School of Business
Department
Information Systems Management
Copyright Status
© 2019 Elsevier Ltd. All rights reserved.
Copyright Use Information
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