DocumentCode :
3697172
Title :
Authentication and Identification Methods Used in Keystroke Biometric Systems
Author :
Md Liakat Ali;Charles C. Tappert;Meikang Qiu;John V. Monaco
Author_Institution :
Seidenberg Sch. of Comput. Sci. &
fYear :
2015
Firstpage :
1424
Lastpage :
1429
Abstract :
Keystroke dynamics authentication is not as widely used compared to other biometric systems. In recent years, keystroke dynamic authentication systems have gained interest because of low cost and integration with existing security systems. Many different methods have been proposed for data collection, feature representation, classification, and performance evaluation. The work presents a detailed survey of the most recent research in keystroke dynamic authentication. Research is evaluated by the conditions under which data was collected, classification algorithms used, and system performance. This work also identifies some shortcomings of the current research issues that need to be addressed for keystroke dynamics to mature. Some recommendations for future research are made, with the goal of improving keystroke dynamics system performance and robustness.
Keywords :
"Authentication","Support vector machines","Biometrics (access control)","Accuracy","Keyboards","Bayes methods","Feature extraction"
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on
Type :
conf
DOI :
10.1109/HPCC-CSS-ICESS.2015.66
Filename :
7336368
Link To Document :
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