TY - GEN
T1 - Designing Double-Click-Based Unlocking Mechanism on Smartphones
AU - Li, Wenjuan
AU - Tan, Jiao
AU - Zhu, Nan
AU - Wang, Yu
N1 - Funding Information:
Acknowledgments. We would like to thank the participants for their hard work in the user study. This work was partially supported by National Natural Science Foundation of China (No. 61802080 and 61802077).
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2020/12
Y1 - 2020/12
N2 - Smartphones have gained huge popularity and rapidly changed the way of people’s living habits and communication style. Despite the widespread adoption, there is a big challenge to protect data security on smartphones. This is because phone users often store their personal data (e.g., images) and proceed sensitive tasks (e.g., financial operations) on the device. To secure the device from unauthorized access, designing an appropriate unlocking mechanism is an expected solution. To complement existing schemes, we advocate that combining behavioral biometrics can enhance the security of unlocking mechanisms. In this work, we develop a double-click-based unlocking scheme (DCUS), which allows users to unlock the phone by double clicking on the pre-selected location on an image. For verification, DCUS has to check selected images, image location and behavioral features of double-click action. In the user study, we involve 40 participants and explore some common supervised algorithms. The results demonstrate that participants can achieve a good success rate (over 96%) with positive feedback.
AB - Smartphones have gained huge popularity and rapidly changed the way of people’s living habits and communication style. Despite the widespread adoption, there is a big challenge to protect data security on smartphones. This is because phone users often store their personal data (e.g., images) and proceed sensitive tasks (e.g., financial operations) on the device. To secure the device from unauthorized access, designing an appropriate unlocking mechanism is an expected solution. To complement existing schemes, we advocate that combining behavioral biometrics can enhance the security of unlocking mechanisms. In this work, we develop a double-click-based unlocking scheme (DCUS), which allows users to unlock the phone by double clicking on the pre-selected location on an image. For verification, DCUS has to check selected images, image location and behavioral features of double-click action. In the user study, we involve 40 participants and explore some common supervised algorithms. The results demonstrate that participants can achieve a good success rate (over 96%) with positive feedback.
KW - Behavioral authentication
KW - Double click
KW - Smartphone security
KW - Touch dynamics
KW - User authentication
UR - http://www.scopus.com/inward/record.url?scp=85102505646&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-68884-4_47
DO - 10.1007/978-3-030-68884-4_47
M3 - Conference article published in proceeding or book
AN - SCOPUS:85102505646
SN - 9783030688837
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 573
EP - 585
BT - SpaCCS 2020 International Workshops, 2020, Proceedings
A2 - Wang, Guojun
A2 - Chen, Bing
A2 - Li, Wei
A2 - Di Pietro, Roberto
A2 - Yan, Xuefeng
A2 - Han, Hao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2020
Y2 - 18 December 2020 through 20 December 2020
ER -