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Modelling evolving user behaviours

Research output: Contribution in Book/Report/ProceedingsPaper


Publication date04/2009
Host publicationIEEE Workshop on Evolving and Self-Developing Intelligent Systems, 2009. ESDIS '09.
Number of pages8
ISBN (Print)978-1-4244-2754-3
<mark>Original language</mark>English


ConferenceIEEE Symposium Series on Computational Intelligence
CityNashville, Tennessey, USA


ConferenceIEEE Symposium Series on Computational Intelligence
CityNashville, Tennessey, USA


Knowledge about computer users is very beneficial for assisting them, predicting their future actions or detecting masqueraders. In this paper, a new approach for creating and recognizing automatically the behaviour profile of a computer user is presented. In this case, a computer user behaviour is represented as the sequence of the commands (s)he types during her/his work. This sequence is transformed into a distribution of relevant subsequences of commands in order to find out a profile that defines its behaviour. Also, because of a user profile is not necessarily fixed but rather it evolves/changes, we propose an evolving method to keep up to date the created profiles using an Evolving Systems approach. In this paper we combine the evolving classifier with a trie-based user profiling to obtain a powerful self-learning on-line scheme. We also develop further the recursive formula of the potential of a data point to become a cluster centre using cosine distance which is provided in the Appendix. The novel approach proposed in this paper can be applicable to any problem of dynamic/evolving user behaviour modelling where it can be represented as a sequence of actions and events. It has been evaluated on several real data streams. (c) IEEE Press.

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