TY - GEN
T1 - Effects of text filtering on authentication performance of keystroke biometrics
AU - Huang, Jiaju
AU - Hou, Daqing
AU - Schuckers, Stephanie
AU - Upadhyaya, Shambhu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/18
Y1 - 2017/1/18
N2 - Free text keystroke dynamics is a behavioral biometric that has the strong potential to offer unobtrusive and continuous user authentication. In free-Text keystroke biometrics, users are free to type whatever they want to while still being authenticated. However, not all keystrokes from a user exhibit the same quality of stable patterns that can be used to differentiate them from others. The 'unstable' keystrokes may originate from such activities as when the user is playing a computer game, or other sources of noisy or 'gibberish' text. Our hypothesis is that some forms of text negatively impact keystroke dynamics-based user authentication, and thus, should be filtered out. This study investigates the impact of gibberish text on authentication performance through locating and removing gibberish text, and comparing the difference in authentication performance before and after the removal. We confirm the positive effect of text filtering on authentication performance, especially on the reduction of the false reject rate.
AB - Free text keystroke dynamics is a behavioral biometric that has the strong potential to offer unobtrusive and continuous user authentication. In free-Text keystroke biometrics, users are free to type whatever they want to while still being authenticated. However, not all keystrokes from a user exhibit the same quality of stable patterns that can be used to differentiate them from others. The 'unstable' keystrokes may originate from such activities as when the user is playing a computer game, or other sources of noisy or 'gibberish' text. Our hypothesis is that some forms of text negatively impact keystroke dynamics-based user authentication, and thus, should be filtered out. This study investigates the impact of gibberish text on authentication performance through locating and removing gibberish text, and comparing the difference in authentication performance before and after the removal. We confirm the positive effect of text filtering on authentication performance, especially on the reduction of the false reject rate.
KW - keystroke biometrics
KW - performance
KW - text filtering
UR - https://www.scopus.com/pages/publications/85015069734
U2 - 10.1109/WIFS.2016.7823899
DO - 10.1109/WIFS.2016.7823899
M3 - Conference contribution
AN - SCOPUS:85015069734
T3 - 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
BT - 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
Y2 - 4 December 2016 through 7 December 2016
ER -