TY - GEN
T1 - AuthoRing
T2 - 3rd ACM Workshop on Wearable Systems and Applications, WearSys 2017
AU - Liang, Xiaohui
AU - Kotz, David
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/6/19
Y1 - 2017/6/19
N2 - A common log-in process at computers involves the entry of username and password; log out depends on the user to remember to log out, or a timeout to expire the user session. Once logged in, user sessions may be vulnerable to imposter attacks in which an impostor steps up to the user's unattended computer and inherits the user's access privilege. We propose a ring-based authentication system called "AuthoRing", which restricts the imposter attackers from generating new inputs at the computer's mouse and keyboard. During the log-in process, an eligible AuthoRing user wears a digital ring with accelerometers and wireless communication capability. When input is detected at the mouse or keyboard, the computer's AuthoRing system correlates hand-motion data received from the ring with the input data from the computer's window manager, and detects imposter attacks when these data are insufficiently correlated. We implemented the AuthoRing system and evaluated its security, efficiency, and usability; we found that imposter attacks can be effectively detected and the required operations happen quickly with negligible delays experienced by the user.
AB - A common log-in process at computers involves the entry of username and password; log out depends on the user to remember to log out, or a timeout to expire the user session. Once logged in, user sessions may be vulnerable to imposter attacks in which an impostor steps up to the user's unattended computer and inherits the user's access privilege. We propose a ring-based authentication system called "AuthoRing", which restricts the imposter attackers from generating new inputs at the computer's mouse and keyboard. During the log-in process, an eligible AuthoRing user wears a digital ring with accelerometers and wireless communication capability. When input is detected at the mouse or keyboard, the computer's AuthoRing system correlates hand-motion data received from the ring with the input data from the computer's window manager, and detects imposter attacks when these data are insufficiently correlated. We implemented the AuthoRing system and evaluated its security, efficiency, and usability; we found that imposter attacks can be effectively detected and the required operations happen quickly with negligible delays experienced by the user.
UR - https://www.scopus.com/pages/publications/85025709428
UR - https://www.scopus.com/pages/publications/85025709428#tab=citedBy
U2 - 10.1145/3089351.3089357
DO - 10.1145/3089351.3089357
M3 - Conference contribution
AN - SCOPUS:85025709428
T3 - WearSys 2017 - Proceedings of the 2017 Workshop on Wearable Systems and Applications, co-located with MobiSys 2017
SP - 5
EP - 10
BT - WearSys 2017 - Proceedings of the 2017 Workshop on Wearable Systems and Applications, co-located with MobiSys 2017
PB - Association for Computing Machinery, Inc
Y2 - 19 June 2017
ER -