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Cognitive Checkpoint: Emerging Technologies for Biometric-Enabled Watchlist Screening

Yanushkevich, Svetlana, Sundberg, Kelly, Twyman, Nathan, Guest, Richard, Shmerko, Vlad (2019) Cognitive Checkpoint: Emerging Technologies for Biometric-Enabled Watchlist Screening. Computers & Security, . ISSN 0167-4048. (doi:10.1016/j.cose.2019.05.002) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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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
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: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Richard Guest
Date Deposited: 23 May 2019 07:13 UTC
Last Modified: 12 Aug 2019 14:58 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/74073 (The current URI for this page, for reference purposes)
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