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dc.contributor.authorKokal, Sara
dc.contributor.authorPryor, Laura
dc.contributor.authorDave, Rushit
dc.date.accessioned2023-09-14T13:06:33Z
dc.date.available2023-09-14T13:06:33Z
dc.date.issued2022
dc.identifier.urihttp://digital.library.wisc.edu/1793/84575
dc.descriptionColor poster with text, charts, and graphs.en_US
dc.description.abstractToday’s research finds that behavioral biometrics, a method that makes a decision based on the user’s behaviors, can provide a secure authentication method for mobile devices. This presentation will provide a review on the use of touch and motion dynamics with mobile touch screen devices with various machine learning algorithms.en_US
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectAuthenticationen_US
dc.subjectMachine learningen_US
dc.subjectComputer securityen_US
dc.subjectPostersen_US
dc.subjectDepartment of Computer Scienceen_US
dc.titleExploration of Machine Learning Classification Models Used for Behavioral Biometrics Authenticationen_US
dc.typePresentationen_US


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    Posters of collaborative student/faculty research presented at CERCA

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