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Dynamic user authentication based on mouse movements curves

Hinbarji, Zaher, Albatal, Rami orcid logoORCID: 0000-0002-9269-8578 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2015) Dynamic user authentication based on mouse movements curves. In: 21st International Conference on MultiMedia Modelling (MMM 2015), 5-7 Jan 2015, Sydney, Australia.

Abstract
In this paper we describe a behavioural biometric approach to authenticate users dynamically based on mouse movements only and using regular mouse devices. Unlike most of the previous approaches in this domain, we focus here on the properties of the curves generated from the consecutive mouse positions during typical mouse movements. Our underlying hypothesis is that these curves have enough discriminative information to recognize users. We conducted an experiment to test and validate our model in which ten participants are involved. Back propagation neural network is used as a classifier. Our experimental results show that behavioural information with discriminating features is revealed during normal mouse usage, which can be employed for user modeling for various reasons, such as information assets protection.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:multimedia security; User modeling; Human-computer interaction; Mouse dynamics
Subjects:Computer Science > Lifelog
Computer Science > Machine learning
Computer Science > Computer security
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:20248
Deposited On:20 Mar 2015 09:19 by Zaher Hinbarji . Last Modified 15 Dec 2021 16:22
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