DocumentCode :
744500
Title :
Surveying the Development of Biometric User Authentication on Mobile Phones
Author :
Weizhi Meng ; Wong, Duncan S. ; Furnell, Steven ; Jianying Zhou
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China
Volume :
17
Issue :
3
fYear :
2015
Firstpage :
1268
Lastpage :
1293
Abstract :
Designing reliable user authentication on mobile phones is becoming an increasingly important task to protect users´ private information and data. Since biometric approaches can provide many advantages over the traditional authentication methods, they have become a significant topic for both academia and industry. The major goal of biometric user authentication is to authenticate legitimate users and identify impostors based on physiological and behavioral characteristics. In this paper, we survey the development of existing biometric authentication techniques on mobile phones, particularly on touch-enabled devices, with reference to 11 biometric approaches (five physiological and six behavioral). We present a taxonomy of existing efforts regarding biometric authentication on mobile phones and analyze their feasibility of deployment on touch-enabled mobile phones. In addition, we systematically characterize a generic biometric authentication system with eight potential attack points and survey practical attacks and potential countermeasures on mobile phones. Moreover, we propose a framework for establishing a reliable authentication mechanism through implementing a multimodal biometric user authentication in an appropriate way. Experimental results are presented to validate this framework using touch dynamics, and the results show that multimodal biometrics can be deployed on touch-enabled phones to significantly reduce the false rates of a single biometric system. Finally, we identify challenges and open problems in this area and suggest that touch dynamics will become a mainstream aspect in designing future user authentication on mobile phones.
Keywords :
biometrics (access control); mobile computing; multimodal biometric user authentication techniques; potential attack points; survey practical attacks; touch-enabled mobile phones; Authentication; Face; Face recognition; Iris recognition; Mobile handsets; Physiology; Retina; Behavioral Biometrics; Mobile Phones; Multimodal Biometrics; Physiological Biometrics; Touch Dynamics; User Authentication; User authentication; behavioral biometrics; mobile phones; multimodal biometrics; physiological biometrics; touch dynamics;
fLanguage :
English
Journal_Title :
Communications Surveys & Tutorials, IEEE
Publisher :
ieee
ISSN :
1553-877X
Type :
jour
DOI :
10.1109/COMST.2014.2386915
Filename :
7000543
Link To Document :
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