Android Pattern Unlock Authentication - effectiveness of local and global dynamic features

Ibrahim, Nasiru and Sellahewa, Harin (2019) Android Pattern Unlock Authentication - effectiveness of local and global dynamic features. In: 18th International Conference of the Biometrics Special Interest Group (BIOSIG 2019), 18-20 September 2019, Darmstadt, Germany. (Unpublished)

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Official URL: https://ieeexplore.ieee.org/document/8897266

Abstract

This study conducts a holistic analysis of the performances of biometric features incorporated into Pattern Unlock authentication. The objective is to enhance the strength of the authentication by adding an implicit layer. Earlier studies have incorporated either global or local dynamic features for verification; however, as found in this paper, different features have variable discriminating power, especially at different extraction levels. The discriminating potential of global, local and their combination are evaluated. Results showed that locally extracted features have higher discriminating power than global features and combining both features gives the best verification performance. Further, a novel feature was proposed and evaluated, which was found to have a varied impact (both positive and negative) on the system performance. From our findings, it is essential to evaluate features (independently and collectively), extracted at different levels (global and local) and different combination for some might impede on the verification performance of the system.

Item Type: Conference or Workshop Item (Poster)
Additional Information: This version of the paper has been reviewed, but this is not the final version of the paper that will appear in the proceedings. Conference took place 18-20 Sept. 2019 in Darmstadt, Germany
Uncontrolled Keywords: Biometrics, Authentication, Behaviometrics, Mobile Security, Pattern Recognition, Multi-factor authentication, Android Pattern Unlock, Mobile Computing, Graphical Password, Touch Gesture-Based Authentication.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Computing
Depositing User: Harin Sellahewa
Date Deposited: 25 Jul 2019 13:56
Last Modified: 18 Nov 2019 11:42
URI: http://bear.buckingham.ac.uk/id/eprint/387

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