%0 Conference Proceedings %T Multi-modal Behavioural Biometric Authentication for Mobile Devices %+ Centre for Security, Communications and Network Research (CSCAN) %+ School of Computer and Information Science [Edith Cowan University] %A Saevanee, Hataichanok %A Clarke, Nathan, L. %A Furnell, Steven, M. %Z Part 12: Authentication and Delegation %< avec comité de lecture %( IFIP Advances in Information and Communication Technology %B 27th Information Security and Privacy Conference (SEC) %C Heraklion, Crete, Greece %Y Dimitris Gritzalis %Y Steven Furnell %Y Marianthi Theoharidou %I Springer %3 Information Security and Privacy Research %V AICT-376 %P 465-474 %8 2012-06-12 %D 2012 %R 10.1007/978-3-642-30436-1_38 %K Behavioural Biometrics %K Authentication %K Mobile Devices %K Behavioural Profiling %K Keystroke Dynamics %K Linguistic Profiling %Z Computer Science [cs]Conference papers %X The potential advantages of behavioural biometrics are that they can be utilised in a transparent (non-intrusive) and continuous authentication system. However, individual biometric techniques are not suited to all users and scenarios. One way to increase the reliability of transparent and continuous authentication systems is create a multi-modal behavioural biometric authentication system. This research investigated three behavioural biometric techniques based on SMS texting activities and messages, looking to apply these techniques as a multi-modal biometric authentication method for mobile devices. The results showed that behaviour profiling, keystroke dynamics and linguistic profiling can be used to discriminate users with overall error rates 20%, 20% and 22% respectively. To study the feasibility of multi-modal behaviour biometric authentication system, matching-level fusion methods were applied. Two fusion methods were utilised: simple sum and weight average. The results showed clearly that matching-level fusion can improve the classification performance with an overall EER 8%. %G English %2 https://inria.hal.science/hal-01518234/document %2 https://inria.hal.science/hal-01518234/file/978-3-642-30436-1_38_Chapter.pdf %L hal-01518234 %U https://inria.hal.science/hal-01518234 %~ IFIP %~ IFIP-AICT %~ IFIP-TC %~ IFIP-TC11 %~ IFIP-SEC %~ IFIP-AICT-376