@ {3995,
	title = {Model for Adaptable Context-Based Biometric Authentication for Mobile Devices},
	journal = {Personal and Ubiquitous Computing},
	volume = {20},
	year = {2016},
	pages = {195-207},
	abstract = {It becomes possible to take advantage of seamless biometric authentication on mobile devices due to increasing quality and quantity of built-in sensors, increasing processing power of the devices, and wireless connectivity. However, practical effectiveness of the biometric authentication application depends on user{\textquoteright}s environment conditions that can decrease the accuracy of biometrics recognition or make the acquisition process undesirable for mobile user in a given moment, i.e., effectiveness depends on usage context. In this paper, context-based biometric authentication model for mobile devices is proposed. It enables determining the most accurate authentication method at the moment along with the most accurate form of interacting with a user w.r.t. authentication process. The generic model designed and verified with proof-of-concept implementation constitutes a foundation for building further adaptable and extensible multi-factor context-dependent systems for mobile authentication.},
	keywords = {Adaptable access control, Adaptable authentication, Biometric authentication, Context-based authentication, Mobile authentication, mobile devices},
	doi = {10.1007/s00779-016-0905-0},
	url = {http://link.springer.com/article/10.1007/s00779-016-0905-0},
	attachments = {https://www.kti.ue.poznan.pl/sites/default/files/10.1007_s00779-016-0905-0.pdf},
	author = {A. W{\'o}jtowicz and Joachimiak, K.}
}
