Developing a keystroke dynamics based agent using rough sets
Kenneth Revett · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2005
Abstract. 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. 1.