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
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