Classification of keystroke dynamics - a case study of fuzzified discrete event handling
Gernot Herbst, Steffen F. Bocklisch · 2008
The expressiveness of discrete events can be enhanced by incorporating additional attributes, which can be employed for a more detailed classification of an event or to formulate certain requirements towards future instantiations of an event in greater depth. This work is dedicated especially to attributes gained from potentially unreliable sources, such as virtually all sensor systems are. The two main aspects to be discussed are modelling of vague attributes on the one hand, and suitable methods of formulating requirements along with appropriate measures of fulfilment on the other hand. As one practical example, a biometrically enhanced password authentication procedure will be presented. It is meant to serve both as a case study and motivation for the approach pursued subsequently in this work.