DocumentCode :
1786100
Title :
Empirical keystroke analysis in passwords
Author :
Montalvao, J. ; Freirem, Eduardo O. ; Bezerra, Murilo A. ; Garcia, Raul
Author_Institution :
Electr. Eng. Dept., Fed. Univ. of Sergipe, São Cristóvão, Brazil
fYear :
2014
fDate :
26-28 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
Rhythmic patterns in passwords are addressed as a kind of biometrics. Experimental results are obtained through two publicly available databases. A preprocessing step (time interval equalization) is applied to both down-down keystroke latency and key hold-down time. Improvements from this preprocessing step are shown through experiments intentionally adapted from papers by the owners of both databases. Afterwards our main experiments are guided by questions Q1: How long does it take for a typist to develop a proper timing signature associated to a new meaningless password? And Q2: How does the number of symbols affect biometric performance? Measurements show that for the password .tie5Roanl typists need many dozens of repetitions to stabilize their typing rhythm. As for question Q2, experimental results show better performance for the shorter password try4-mbs, and that even for longest one studied, .tie5Roanl, there is room for performance improvement.
Keywords :
biometrics (access control); pattern recognition; security of data; .tie5Roanl password; biometric performance; down-down keystroke latency; empirical keystroke analysis; key hold-down time; passwords; preprocessing step; rhythmic patterns; time interval equalization; timing signature; try4-mbs password; Biometrics (access control); Databases; Detectors; Joints; Protocols; Rhythm; Training; Biometrics; keystroke; password;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE
Conference_Location :
Salvador
Print_ISBN :
978-1-4799-5688-3
Type :
conf
DOI :
10.1109/BRC.2014.6880989
Filename :
6880989
Link To Document :
بازگشت