Imitation-Resistant Passive Authentication Interface for Stroke-Based Touch Screen Devices

Masashi Kudo, Hayato Yamana

研究成果: Conference contribution

抄録

Today’s widespread use of stroke-based touchscreen devices creates numerous associated security concerns and requires efficient security measures in response. We propose an imitation-resistant passive authentication interface for stroke-based touch screen devices employing classifiers for each individual stroke, which is evaluated with respect to 26 features. For experimental validation, we collect stroke-based touchscreen data from 23 participants containing target and imitation stroke patterns using a photo-matching game in the form of an iOS application. The equal error rate (EER), depicting the rate at which false rejection and false acceptance of target and imitator strokes are equal, is assumed as an indicator of the classification accuracy. Leave-one-out cross-validation was employed to evaluate the datasets based on the mean EER. For each cross-validation, one out of the two target datasets, an imitator dataset, and the remaining 20 imitator datasets were selected as genuine data, imitator test data, and imitator training data, respectively. Our results confirm stroke imitation as a serious threat. Among the 26 stroke features evaluated in terms of their imitation tolerance, the stroke velocity was identified as the most difficult to imitate. Dividing classifiers based on the stroke direction was found to further contribute to classification accuracy.

本文言語English
ホスト出版物のタイトルHCI International 2020 - Posters - 22nd International Conference, HCII 2020, Proceedings
編集者Constantine Stephanidis, Margherita Antona
出版社Springer
ページ558-565
ページ数8
ISBN(印刷版)9783030507312
DOI
出版ステータスPublished - 2020
イベント22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
継続期間: 2020 7 192020 7 24

出版物シリーズ

名前Communications in Computer and Information Science
1226 CCIS
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

Conference

Conference22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period20/7/1920/7/24

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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