DocumentCode :
232353
Title :
Authentication system using behavioral biometrics through keystroke dynamics
Author :
Alves, D.D. ; Cruz, G. ; Vinhal, C.
Author_Institution :
Sch. of Electr., Mech. & Comput. Eng., UFG, Goiania, Brazil
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
181
Lastpage :
184
Abstract :
This work presents a user´s authentication system for computational environments based on keystroke dynamics. The methodology proposed is low-cost, non-intrusive and can be applied in areas of monitored access software to increase the level of data security. The algorithm works by monitoring the typing of the user in real time, capturing split times in which the key was pressed and released. Five characteristics are captured in this entry: The ASCII code (American Standard Code for Information Interchange), three splits associated and a duration associated with the key, which would be the time that it remained pressed. From this data it was possible to trace metrics that were able to identify the user in question. Results obtained show a high level of accuracy.
Keywords :
authorisation; biometrics (access control); ASCII code; American standard code for information interchange; authentication system; behavioral biometrics; computational environments; data security; keystroke dynamics; monitored access software; user authentication system; Authentication; Biometrics (access control); Feature extraction; Maximum likelihood estimation; Standards; Training; Vectors; Behavioral Biometrics; Genetic Algorithm; Keystroke; Maximum Likelihood Estimation; Standard Deviation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Biometrics and Identity Management (CIBIM), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/CIBIM.2014.7015461
Filename :
7015461
Link To Document :
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