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dc.contributor.author Dawood, ZC
dc.date.accessioned 2019-05-07T07:05:06Z
dc.date.available 2019-05-07T07:05:06Z
dc.date.issued 2019-02
dc.identifier.citation Dawood, ZC. 2019. Enriching behavioural biometrics experiments with an ontology. Proceedings of the 14th International Conference on Cyber Warfare and Security (ICCWS 2019), 28 February - 1 March 2019, Stellenbosch University, South Africa, pp 197-206. en_US
dc.identifier.isbn 978-1-912764-12-9
dc.identifier.isbn 978-1-912764-11-2
dc.identifier.uri https://www.academic-conferences.org/conferences/iccws/iccws-future-and-past/
dc.identifier.uri http://hdl.handle.net/10204/10986
dc.description Copyright: 2019 The Author. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract Behavioural biometrics are increasingly being used to authenticate users for various applications. As active research is being conducted for behavioural biometrics, researchers face difficulty in sharing and annotating experimental data. This can be solved using an ontologies. An ontology is a logical model that can be used to formally represent knowledge such that machines and humans can process or understand them. In this paper, we propose using an ontology for enriching the field of behavioural biometrics. We first describe an ontology with the focus on mouse and keystroke dynamics and show how the ontology can be used to facilitate sharing and extracting experimental data. en_US
dc.language.iso en en_US
dc.publisher Academic Conferences and Publishing (ACPI). en_US
dc.relation.ispartofseries Worklist;22268
dc.subject Behavioural biometrics en_US
dc.subject Ontologies en_US
dc.subject Mouse dynamics en_US
dc.subject Keystroke dynamics en_US
dc.title Enriching behavioural biometrics experiments with an ontology en_US
dc.type Presentation en_US


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