Iglesias, Jose and Angelov, Plamen and Ledezma, Agapito and Sanchis, Araceli (2009) Modelling evolving user behaviours. In: IEEE Workshop on Evolving and Self-Developing Intelligent Systems, 2009. ESDIS '09. :. IEEE, pp. 16-23. ISBN 978-1-4244-2754-3Full text not available from this repository.
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.
|Item Type:||Contribution in Book/Report/Proceedings|
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|Subjects:||?? qa75 ??|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited By:||Dr. Plamen Angelov|
|Deposited On:||01 Oct 2009 09:09|
|Last Modified:||26 Mar 2017 00:04|
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