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http://dx.doi.org/10.9717/kmms.2014.17.8.968

Using Keystroke Dynamics for Implicit Authentication on Smartphone  

Do, Son (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Hoang, Thang (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Luong, Chuyen (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Choi, Seungchan (Gwangju Science High School)
Lee, Dokyeong (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Bang, Kihyun (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Choi, Deokjai (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.8, 2014 , pp. 968-976 More about this Journal
Abstract
Authentication methods on smartphone are demanded to be implicit to users with minimum users' interaction. Existing authentication methods (e.g. PINs, passwords, visual patterns, etc.) are not effectively considering remembrance and privacy issues. Behavioral biometrics such as keystroke dynamics and gait biometrics can be acquired easily and implicitly by using integrated sensors on smartphone. We propose a biometric model involving keystroke dynamics for implicit authentication on smartphone. We first design a feature extraction method for keystroke dynamics. And then, we build a fusion model of keystroke dynamics and gait to improve the authentication performance of single behavioral biometric on smartphone. We operate the fusion at both feature extraction level and matching score level. Experiment using linear Support Vector Machines (SVM) classifier reveals that the best results are achieved with score fusion: a recognition rate approximately 97.86% under identification mode and an error rate approximately 1.11% under authentication mode.
Keywords
Implicit User Authentication; Smartphone; Keystroke Dynamics; Gait; Multimodal Biometrics;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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