Authenticating computer access based on keystroke dynamics using a probabilisti...

• Author(s): Revett, Kenneth ; Gorunescu, Florin ; Gorunescu, Marina ; Ene, Marius ; Magalhães, Paulo Sérgio ; Santos, Henrique Dinis dos
• Date: 2006
• Persistent ID: http://hdl.handle.net/1822/4808
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Biometrics; Keystroke dynamics; Authentication; Behavioural biometrics
• Document Type: Conference Object
• Language: English

Description

Comunicação apresentada na 2nd Annual International Conference on Global e-Security, Docklands, UK, 20 - 22 April 2006. Most computer systems are secured using a login id and password. When computers are connected to the internet, they become more vulnerable as more machines are available to attack them. In this paper, we present a novel method for protecting/enhancing login protection that can reduce the potential threat of internet connected computers. Our method is based on and enhancement to login id/password based on keystroke dynamics. We employ a novel authentication algorithm based on a probabilistic neural network. Our results indicate that we can achieve an equal error rate of less than 5%, comparable to what is achieved with hardware based solutions such as fingerprint scanners and facial recognition systems.