TY - GEN
T1 - EyeSec
T2 - 13th International Conference on Information Security Practice and Experience, ISPEC 2017
AU - Li, Na
AU - Wu, Qianhong
AU - Liu, Jingwen
AU - Hu, Wei
AU - Qin, Bo
AU - Wu, Wei
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - With ubiquitous use of electronic devices where personal information is often stored, secure authentication is greatly underscored. As conventional password entry approaches are vulnerable to shoulder-surfing, gaze-based authentication approaches have been developed, but most of them require extra eye trackers which usually rely on special hardware and are too expensive for ordinary people. Aimed at both shoulder-surfing resistance and practicality, we present EyeSec, a gaze-based authentication system which exploits state-of-art gaze tracking technology without requirement for additional hardware except for a webcam. EyeSec offers three kinds of authentications, i.e., gaze-based PIN, gaze-based pattern and gaze-based captcha. According to the results of experiment, the best-performing participants, aged between 21 and 35, achieve average 76.2 %, 90.0 %, 100.0 % success rate for passing the three kinds of authentications, respectively, which makes gaze-based authentication from theory to practice.
AB - With ubiquitous use of electronic devices where personal information is often stored, secure authentication is greatly underscored. As conventional password entry approaches are vulnerable to shoulder-surfing, gaze-based authentication approaches have been developed, but most of them require extra eye trackers which usually rely on special hardware and are too expensive for ordinary people. Aimed at both shoulder-surfing resistance and practicality, we present EyeSec, a gaze-based authentication system which exploits state-of-art gaze tracking technology without requirement for additional hardware except for a webcam. EyeSec offers three kinds of authentications, i.e., gaze-based PIN, gaze-based pattern and gaze-based captcha. According to the results of experiment, the best-performing participants, aged between 21 and 35, achieve average 76.2 %, 90.0 %, 100.0 % success rate for passing the three kinds of authentications, respectively, which makes gaze-based authentication from theory to practice.
KW - Gaze tracking
KW - Gaze-based authentication
KW - Gaze-based captcha
KW - Shoulder-surfing
KW - Usable security
UR - https://www.scopus.com/pages/publications/85038097935
U2 - 10.1007/978-3-319-72359-4_26
DO - 10.1007/978-3-319-72359-4_26
M3 - 会议稿件
AN - SCOPUS:85038097935
SN - 9783319723587
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 435
EP - 453
BT - Information Security Practice and Experience - 13th International Conference, ISPEC 2017, Proceedings
A2 - Liu, Joseph K.
A2 - Samarati, Pierangela
PB - Springer Verlag
Y2 - 13 December 2017 through 15 December 2017
ER -