TY - GEN
T1 - Double-X: Towards Double-Cross-Based Unlock Mechanism on Smartphones
AU - Li, Wenjuan
AU - Tan, Jiao
AU - Zhu, Nan
N1 - This work is supported in part by Program of Key Laboratory of Network Assessment Technology of Chinese Academy of Sciences, Program of Beijing Key Laboratory of Network Security and Protection Technology, National Key Research and Development Program of China (No. 2019YFB1005201), Strategic Priority Research Program of Chinese Academy of Sciences, Grant No. XDC02010900.
Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022/6
Y1 - 2022/6
N2 - Thanks to the convenience and the increasing functionalities, mobile devices especially smartphones are becoming an essential electronic device in people’s daily lives. Users can take the smartphone for online shopping and payment, as well as chatting with friends. However, with more private and sensitive information stored on such devices, how to secure the phone data becomes an open challenge. To protect a smartphone from unauthorized access, a direct and intuitive approach is to deploy an unlock mechanism, which requires users to input a correct pattern and unlock the phone. In the literature, combining behavioral biometrics can further enhance the security of unlock mechanisms, e.g., Android unlock patterns. In this work, we develop Double-X, a double-cross-based unlock scheme that requires users to unlock the phone by inputting two cross shapes on the selected dots. To authenticate the user, Double-X has to check the selected dots and the behavioral features when drawing the cross shapes. To examine the scheme performance, we perform two user studies with 80 participants with several typical supervised algorithms. The results indicate that participants can achieve a good success rate (e.g., 95%) under our scheme compared with two similar schemes.
AB - Thanks to the convenience and the increasing functionalities, mobile devices especially smartphones are becoming an essential electronic device in people’s daily lives. Users can take the smartphone for online shopping and payment, as well as chatting with friends. However, with more private and sensitive information stored on such devices, how to secure the phone data becomes an open challenge. To protect a smartphone from unauthorized access, a direct and intuitive approach is to deploy an unlock mechanism, which requires users to input a correct pattern and unlock the phone. In the literature, combining behavioral biometrics can further enhance the security of unlock mechanisms, e.g., Android unlock patterns. In this work, we develop Double-X, a double-cross-based unlock scheme that requires users to unlock the phone by inputting two cross shapes on the selected dots. To authenticate the user, Double-X has to check the selected dots and the behavioral features when drawing the cross shapes. To examine the scheme performance, we perform two user studies with 80 participants with several typical supervised algorithms. The results indicate that participants can achieve a good success rate (e.g., 95%) under our scheme compared with two similar schemes.
KW - Behavioral authentication
KW - Double cross
KW - Touch dynamics
KW - Unlock mechanism
KW - User authentication
UR - http://www.scopus.com/inward/record.url?scp=85132865756&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06975-8_24
DO - 10.1007/978-3-031-06975-8_24
M3 - Conference article published in proceeding or book
AN - SCOPUS:85132865756
SN - 9783031069741
T3 - IFIP Advances in Information and Communication Technology
SP - 412
EP - 428
BT - ICT Systems Security and Privacy Protection - 37th IFIP TC 11 International Conference, SEC 2022, Proceedings
A2 - Meng, Weizhi
A2 - Fischer-Hübner, Simone
A2 - Jensen, Christian D.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 37th IFIP International Conference on ICT Systems Security and Privacy Protection, SEC 2022
Y2 - 13 June 2022 through 15 June 2022
ER -