Generative networkload models for a single server environment
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Intrusion detection through learning behavior model
Computer Communications
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The concepts of user behaviour entropy and user behaviour mobility are proposed as indices for the description of user behaviour. The user behaviour indices are derivable from the mode probability vector and the mode transition matrix which adequately describe the behaviour dynamics of an interactive user. The user behaviour indices reduce the ((n*n)+n) dimensional parameter space to two dimensions only for classification, without loss of information related to the user behaviour dynamics. The classification of the users in an interactive educational environment using the user behaviour indices is presented as a case study.