Journal of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2578
Print ISSN : 1345-1537
ISSN-L : 1345-1537
Personal Authentication Method using Behavioral Feature Amounts of Smartphone Handling
Kenichiro YAMADAKazuhiro NOTOMIKeiichi SAITO
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JOURNAL OPEN ACCESS

2014 Volume 16 Issue 1 Pages 41-48

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Abstract
Large amounts of important personal identifiable information have been handled on smartphones and tablet PCs nowadays. Therefore information security measures are developed and the importance of identification for uses is increasing more and more. We think a general identification by a passphrase is inadequate and it is necessary to authenticate user validation even at the time of smartphone operation. In this study, as the authentication method that considers operability, practicality and simplicity for smartphone, we propose a biometric authentication method using a flick operation and touch gestures. We analyzed flick operation and touch gestures patterns using Self-Organizing Maps (SOM), and calculated authentication accuracy. We experimented with several conditions. The best precision of the authentication that we obtained is 98.01%. For enhancement of accuracy, it was suggested that the repeatability of flick operation and touch gestures are important. As a future work, we will develop and extend our flick and touch gestures authentication method, which is able to identify as correct and authorized user whenever anyone use mobile devices.
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© 2014 Biomedical Fuzzy Systems Association
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