Model for adaptable context-based biometric authentication for mobile devices

Adam Wójtowicz , Krzysztof Joachimiak


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’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.
Author Adam Wójtowicz (WIiGE / KTI)
Adam Wójtowicz,,
- Department of Information Technology
, Krzysztof Joachimiak - Adam Mickiewicz University (UAM)
Krzysztof Joachimiak,,
Journal seriesPersonal and Ubiquitous Computing, ISSN 1617-4909, (A 30 pkt)
Issue year2016
Publication size in sheets0.6
Keywords in EnglishAdaptable authentication, Adaptable access control, Biometric authentication, Context-based authentication, Mobile authentication, Mobile devices
ASJC Classification1803 Management Science and Operations Research; 1706 Computer Science Applications; 1708 Hardware and Architecture
Languageen angielski
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 27-04-2020, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 27-04-2020, ArticleFromJournal
Publication indicators WoS Citations = 11; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.651; WoS Impact Factor: 2016 = 2.395 (2) - 2016=2.512 (5)
Citation count*30 (2021-01-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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