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dc.contributor.authorKhalifa, Alnour Ahmed
dc.contributor.authorHassan, Mutasim Adil
dc.contributor.authorKhalid, Tarig Ahmed
dc.contributor.authorHamdoun, Hassan
dc.contributor.editorSaeed, RA
dc.contributor.editorMokhtar, RA
dc.date.accessioned2015-10-05T10:25:01Z
dc.date.available2015-10-05T10:25:01Z
dc.date.issued2015
dc.identifier100088572
dc.identifiere9e56ccf-4578-4fc7-829f-c659d167848f
dc.identifier000380511800026
dc.identifier000380511800026
dc.identifier84965179551
dc.identifier.citationKhalifa , A A , Hassan , M A , Khalid , T A & Hamdoun , H 2015 , Comparison between Mixed Binary classification and Voting Technique for Active User Authentication using Mouse Dynamics . in RA Saeed & RA Mokhtar (eds) , 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE) . IEEE Press , pp. 281-286 , IEEEE- The International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE 2015) , Khartoum , Sudan , 7/09/15 . https://doi.org/10.1109/ICCNEEE.2015.7381378en
dc.identifier.citationconferenceen
dc.identifier.isbn978-1-4673-7870-3
dc.identifier.isbn978-1-4673-7869-7
dc.identifier.urihttp://hdl.handle.net/2164/4977
dc.format.extent6
dc.format.extent367947
dc.language.isoeng
dc.publisherIEEE Press
dc.relation.ispartof2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE)en
dc.subjectactive authenticationen
dc.subjectmouse dynamicsen
dc.subjectpattern recognitionen
dc.subjectmachine learningen
dc.subjectsupport vector machinesen
dc.subjectBiometrics (access control)en
dc.subjectArtificial neural networksen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectGeneral Computer Scienceen
dc.subjectGeneral Engineeringen
dc.subject.lccQA75en
dc.titleComparison between Mixed Binary classification and Voting Technique for Active User Authentication using Mouse Dynamicsen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.NCS School Administrationen
dc.identifier.doi10.1109/ICCNEEE.2015.7381378


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