Personal identification by Keystroke Pattern for login security

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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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Bibliographic Details
Main Author:	Abdullah, Norhayati
Format:	Thesis
Language:	English English
Published:	2001
Subjects:	Computers - Access control - Keystroke timing authentication. Identification numbers, Personal.
Online Access:	http://psasir.upm.edu.my/id/eprint/8663/ http://psasir.upm.edu.my/id/eprint/8663/1/FSKTM%202001%201%20IR.pdf

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