Squeez'In: Private Authentication on Smartphones based on Squeezing Gestures

要旨

In this paper, we proposed \emph{Squeez'In}, a technique on smartphones that enabled private authentication by holding and squeezing the phone with a unique pattern. We first explored the design space of practical squeezing gestures for authentication by analyzing the participants' self-designed gestures and squeezing behavior. Results showed that varying-length gestures with two levels of touch pressure and duration were the most natural and unambiguous. We then implemented \emph{Squeez'In} on an off-the-shelf capacitive sensing smartphone, and employed an SVM-GBDT model for recognizing gestures and user-specific behavioral patterns, achieving 99.3\% accuracy and 0.93 F1-score when tested on 21 users. A following 14-day study validated the memorability and long-term stability of \proj. During usability evaluation, compared with gesture and pin code, \emph{Squeez'In} achieved significantly faster authentication speed and higher user preference in terms of privacy and security.

著者
Xin Yi
Tsinghua University, Beijing, China
Shuning Zhang
Tsinghua University, Peking, China
Ziqi Pan
Tsinghua University , Beijing, China
Louisa Shi
Tsinghua University, Beijing, China
Fengyan Han
Tsinghua University, Beijing , China
Yan Kong
CS, Beijing, China, China
Hewu Li
Tsinghua University, Beijing, China
Yuanchun Shi
Tsinghua University, Beijing, China
論文URL

https://doi.org/10.1145/3544548.3581419

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: More ways to use phones

Hall C
6 件の発表
2023-04-27 01:35:00
2023-04-27 03:00:00