Augmented Unlocking Techniques for Smartphones Using Pre-Touch Information


연구 분야: Analysis



학회: SUI '20: Proceedings of the 2020 ACM Symposium on Spatial User Interaction


초록

Smartphones secure a significant amount of personal and private information, and are playing an increasingly important role in people’s lives. However, current techniques to manually authenticate to smartphones have failed in both not-so-surprising (shoulder surfing) and quite surprising (smudge attacks) ways. In this work, we propose a new technique called 3D Pattern. Our 3D Pattern technique takes advantage of pre-touch sensing, which could soon allow smartphones to sense a user’s finger position at some distance from the screen. We describe and implement the technique, and evaluate it in a small pilot study (n=6) by comparing it to PIN and pattern locks. Our results show that although our prototype takes longer to authenticate, it is completely immune to smudge attacks and promises to be more resistant to shoulder surfing.


Author Profile
Matthew Lakier

Cheriton School of Computer Science University of Waterloo Canada

Canada
Author Profile
Dimcho Karakashev

Cheriton School of Computer Science University of Waterloo Canada

Canada
Author Profile
Yixin Wang

Cheriton School of Computer Science University of Waterloo Canada

Canada

📄 논문 정보

발행 연도 2020년
인용수 1
출판 국가 Canada
사이트 ACM
좋아요 수 0

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