DocumentCode :
2364873
Title :
Investigating performance of neural networks in authentication using keystroke dynamics
Author :
Pavaday, Mr N. ; Soyjaudah, K.M.S.
Author_Institution :
Comput. Sci. Univ. of Mauritius, West Lafayette
fYear :
2007
fDate :
26-28 Sept. 2007
Firstpage :
1
Lastpage :
8
Abstract :
Biometrics technology has emerged as the desired solution for a range of secure applications where a person´s identity must be determined. Biometrics is currently controlling network and physical access in numerous high risk areas, including airport customs and immigration desks, financial malls among others. This paper compares applications of neural networks to the field of hardened password mechanism in a typical workplace environment.
Keywords :
biometrics (access control); message authentication; neural nets; authentication; biometrics technology; hardened password mechanism; keystroke dynamics; neural network; Airports; Authentication; Biometrics; Delay; Employment; Fuzzy neural networks; Humans; Industrial training; Keyboards; Neural networks; Biometric; Neural Networks; Perceptron and Fuzzy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AFRICON 2007
Conference_Location :
Windhoek
Print_ISBN :
978-1-4244-0987-7
Electronic_ISBN :
978-1-4244-0987-7
Type :
conf
DOI :
10.1109/AFRCON.2007.4401575
Filename :
4401575
Link To Document :
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