The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.
Surveying the Development of Biometric User Authentication on Mobile Phones
Open accessAbstract
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.
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Cited by
Habibzadeh, H., Nussbaum, B. H., Anjomshoa, F., Kantarci, B., & Soyata, T. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101660 · Cited by 303
Ferrag, M. A., Maglaras, L., Derhab, A., & Janicke, H. (2020) · Telecommunication Systems · doi:10.1007/s11235-019-00612-5 · Cited by 71
pretty close to a must-have": Balancing usability desire and security concern in biometric adoption
Wolf, F., Kuber, R., & Aviv, A. J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300381 · Cited by 16
Metadata
- Authors
- Meng, W., Wong, D. S., Furnell, S., & Zhou, J.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2015
- Volume
- 17
- Issue
- 3
- Pages
- 1268-1293
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2058266664
- Cited by
- 300
- References
- 159
- FWCI
- 55.47
- Type
- journal article
- Language
- en
- Open access
- green
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