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Mobile user authentication using keystroke dynamics

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dc.contributor.authorFrolova, D.
dc.contributor.authorEpishkina, A.
dc.contributor.authorKogos, K.
dc.contributor.authorЕпишкина, Анна Васильевна
dc.contributor.authorКогос, Константин Григорьевич
dc.date.accessioned2024-11-21T19:08:32Z
dc.date.available2024-11-21T19:08:32Z
dc.date.issued2019
dc.description.abstract© 2019 IEEE.Behavioral biometrics identifies individuals according to their unique way of interacting with computer devices. Keystroke dynamics can be used to identify people, and it can replace the second factor in two-factor authentication. This paper presents a keystroke dynamics biometric system for user authentication in mobile devices. We propose to use data from sensors of motion and position as features for the biometric system to improve the quality of user recognition. The proposed novel model combines different anomaly detection methods (distance-based and density-based) in an ensemble. We achieved the average EER of 8.0%. Our model has a retraining module that updates the keystroke dynamics template of a user each time after a successful authentication in the system. All the process of training and retraining a model and making a decision is made directly on a mobile device using our mobile application, as well as keystroke data is stored on a device.
dc.identifier.citationFrolova, D. Mobile user authentication using keystroke dynamics / Frolova, D., Epishkina, A., Kogos, K. // Proceedings of the 2019 European Intelligence and Security Informatics Conference, EISIC 2019. - 2019. - 10.1109/EISIC49498.2019.9108890
dc.identifier.doi10.1109/EISIC49498.2019.9108890
dc.identifier.urihttps://www.doi.org/10.1109/EISIC49498.2019.9108890
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85087091726&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/19630
dc.relation.ispartofProceedings of the 2019 European Intelligence and Security Informatics Conference, EISIC 2019
dc.titleMobile user authentication using keystroke dynamics
dc.typeConference Paper
dspace.entity.typePublication
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