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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書目詳細資料
主要作者:	Abdullah, Norhayati
格式:	Thesis
語言:	English English
出版:	2001
主題:	Computers - Access control - Keystroke timing authentication.
在線閱讀:	http://psasir.upm.edu.my/id/eprint/8663/1/FSKTM%202001%201%20IR.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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