Strengthening Passwords by Keystroke Dynamics
Attila Meszaros, Zoltán Bankó, László Czúni
Abstract
Attila Meszaros, Zoltán Bankó, László Czúni
Abstract
This document presents the application of biometrics to strength conventional passwords. We show methods to analyze and compare users' keystroke patterns to be able to verify their identity when entering the password into a computer system. The problem's difficulty arises from the fact that only a very limited amount data is available and that new users can come and others may leave the system meantime. That is we are not allowed to re-evaluate all users' data during the application. We show test results based on 2400 records collected from 25 users of different typing ability.
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This document presents the application of biometrics to strength conventional passwords. We show methods to analyze and compare users' keystroke patterns to be able to verify their identity when entering the password into a computer system. The problem's difficulty arises from the fact that only a very limited amount data is available and that new users can come and others may leave the system meantime. That is we are not allowed to re-evaluate all users' data during the application. We show test results based on 2400 records collected from 25 users of different typing ability.
Key concepts: Keystroke dynamics, Password, Keystroke logging, Computer science, Biometrics, Authentication (law), Computer security, Identity (music)