Developing a keystroke dynamics based agent using rough sets

• Main Author: Revett, Kenneth
• Publication Date: 2005
• Other Authors: Magalhães, Paulo Sérgio Tenreiro, Santos, Henrique Dinis dos
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/1822/3357
• topic: Keystroke dynamics; Rough sets; Security; Authentication; Biometry

Software based biometrics, utilising keystroke dynamics has been proposed as a cost effective means of enhancing computer access security. Keystroke dynamics has been successfully employed as a means of identifying legitimate/illegitimate login attempts based on the typing style of the login entry. In this paper, we collected keystroke dynamics data in the form of digraphs from a series of users entering a specific login ID. We wished to determine if there were any particular patterns in the typing styles that would indicate whether a login attempt was legitimate or not using rough sets. Our analysis produced a sensitivity of 98%, specificity of 94% and an overall accuracy of 97% with respect to detecting intruders. In addition, our results indicate that typing speed and particular digraph combinations were the main determinants with respect to automated detection of system attacks.