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Techniques for continuous touch-based authentication

Abstract:
The field of continuous touch-based authentication has been rapidly developing over the last decade, creating a fragmented and difficult-to-navigate area for researchers and application developers alike. In this study, we perform a systematic literature analysis of 30 studies on the techniques used for feature extraction, classification, and aggregation in continuous touch-based authentication systems as well as the performance metrics reported by each study. Based on our findings, we design a set of experiments to compare the performance of the most frequently used techniques in the field under clearly defined conditions. In addition, we introduce two new techniques for continuous touch-based authentication: an expanded feature set (consisting of 149 unique features) and a multi-algorithm ensemble-based classifier. The comparison includes 13 feature sets, 11 classifiers, and 5 aggregation methods. In total, 204 model configurations are examined and we show that our novel techniques outperform the current state-of-the-art in each category. The results are also validated across three different publicly available datasets. Our best performing model achieves 4.8% EER using 16 consecutive strokes. Finally, we discuss the findings of our investigation with the aim of making the field more understandable and accessible for researchers and practitioners.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-031-21280-2_23

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Kellogg College
Role:
Author


Publisher:
Springer
Host title:
Proceedings of the 17th International Conference on Information Security Practice and Experience (ISPEC 2022)
Volume:
13620
Pages:
409–431
Series:
Lecture Notes in Computer Science
Publication date:
2022-11-19
Acceptance date:
2022-09-17
Event title:
17th International Conference on Information Security Practice and Experience (ISPEC 2022)
Event location:
Taipei, Taiwan
Event website:
https://ispec2022.ndhu.edu.tw/
Event start date:
2022-11-23
Event end date:
2022-11-25
DOI:
ISSN:
0302-9743
EISBN:
9783031212802
ISBN:
9783031212796


Language:
English
Keywords:
Pubs id:
1285035
Local pid:
pubs:1285035
Deposit date:
2022-10-14

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