Yanushkevich, Svetlana, Sundberg, Kelly, Twyman, Nathan, Guest, Richard, Shmerko, Vlad (2019) Cognitive Checkpoint: Emerging Technologies for Biometric-Enabled Watchlist Screening. Computers & Security, 85 . pp. 372-385. ISSN 0167-4048. (doi:10.1016/j.cose.2019.05.002) (KAR id:74073)
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Official URL: https://dx.doi.org/10.1016/j.cose.2019.05.002 |
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 mass-transit 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.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.cose.2019.05.002 |
Uncontrolled keywords: | Cognitive checkpoint; biometric-enabled watchlist; layered security; risks; modelling; privacy; mass-transit; hubs; e-borders; e-interviewer; conflict resolving |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Richard Guest |
Date Deposited: | 23 May 2019 07:13 UTC |
Last Modified: | 09 Dec 2022 06:38 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/74073 (The current URI for this page, for reference purposes) |
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