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- W1568652260 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." @default.
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- W1568652260 date "2005-09-19" @default.
- W1568652260 modified "2023-09-26" @default.
- W1568652260 title "Developing a keystroke dynamics based agent using rough sets" @default.
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