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...

詳細記述

書誌詳細

第一著者:	Abdullah, Norhayati
フォーマット:	学位論文
言語:	英語 英語
出版事項:	2001
主題:	Computers - Access control - Keystroke timing authentication. Identification numbers, Personal.
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/8663/1/FSKTM%202001%201%20IR.pdf