TY - GEN
T1 - ZoomPass: A Zoom-Based Android Unlock Scheme on Smart Devices
AU - Gleerup, Thomas
AU - Li, Wenjuan
AU - Tan, Jiao
AU - Wang, Yu
N1 - Funding Information:
Acknowledgments. We would like to thank all the participants for their hard work in the user study. This work was partially supported by National Natural Science Foundation of China (No. 62102106).
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/9
Y1 - 2022/9
N2 - Modern smart devices such as smartphones are able to provide various services, including checking online banking, watching video and listening to music. Due to the intelligence and popularity, such devices are also used as storage space for recording users’ private information such as personal photos, credit card number, videos and more. This creates a need for protecting the devices from unauthorized access. Currently, many unlock schemes have been developed, in which Android unlock pattern is the most widely used scheme. However, traditional Android unlock pattern is vulnerable to different threats due to the limited pattern space. To enhance the security, one major direction is to combine biometric features with Android unlock pattern. In this work, motivated by this trend, we propose an enhanced Android unlock scheme based on zoom actions. More specifically, users can select two dots and perform a zoom action (either zoom-in or zoom-out) over each dot for authentication. In the study with 30 participants, our scheme demonstrates good performance in terms of usability and security.
AB - Modern smart devices such as smartphones are able to provide various services, including checking online banking, watching video and listening to music. Due to the intelligence and popularity, such devices are also used as storage space for recording users’ private information such as personal photos, credit card number, videos and more. This creates a need for protecting the devices from unauthorized access. Currently, many unlock schemes have been developed, in which Android unlock pattern is the most widely used scheme. However, traditional Android unlock pattern is vulnerable to different threats due to the limited pattern space. To enhance the security, one major direction is to combine biometric features with Android unlock pattern. In this work, motivated by this trend, we propose an enhanced Android unlock scheme based on zoom actions. More specifically, users can select two dots and perform a zoom action (either zoom-in or zoom-out) over each dot for authentication. In the study with 30 participants, our scheme demonstrates good performance in terms of usability and security.
KW - Android unlock pattern
KW - Behavioral authentication
KW - Smartphone security
KW - Touch dynamic
KW - User authentication
KW - Zoom behavior
UR - http://www.scopus.com/inward/record.url?scp=85140491346&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-17551-0_16
DO - 10.1007/978-3-031-17551-0_16
M3 - Conference article published in proceeding or book
AN - SCOPUS:85140491346
SN - 9783031175503
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 245
EP - 259
BT - Science of Cyber Security - 4th International Conference, SciSec 2022, Revised Selected Papers
A2 - Su, Chunhua
A2 - Sakurai, Kouichi
A2 - Liu, Feng
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Science of Cyber Security, SciSec 2022
Y2 - 10 August 2022 through 12 August 2022
ER -