Personal identification by Keystroke Pattern for login security

Personal identification by Keystroke Pattern for login security

This thesis discusses the Neural Network (NN) approach in identifying personnel through keystroke behavior in the login session. The keystroke rhythm that falls in the behavioral biometric has a unique pattern for each individual. Therefore, these heterogeneous data obtained from normal behavior...

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书目详细资料
主要作者:	Abdullah, Norhayati
格式:	Thesis
语言:	English English
出版:	2001
主题:	Computers - Access control - Keystroke timing authentication.
在线阅读:	http://psasir.upm.edu.my/id/eprint/8663/1/FSKTM%202001%201%20IR.pdf
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