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Creating evolving user behavior profiles automatically

Iglesias, Jose and Angelov, Plamen and Ledezma, Agapito and Sanchis, Aracheli (2012) Creating evolving user behavior profiles automatically. IEEE Transactions on Knowledge and Data Engineering, 24 (5). pp. 854-867. ISSN 1041-4347

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Abstract

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 behavior profile of a computer user is presented. In this case, a computer user behavior 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 behavior. Also, because 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 center 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 behavior modeling where it can be represented as a sequence of actions or events. It has been evaluated on several real data streams.

Item Type: Article
Journal or Publication Title: IEEE Transactions on Knowledge and Data Engineering
Additional Information: "©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
Uncontrolled Keywords: Evolving fuzzy systems ; fuzzy-rule-based (FRB) classifiers ; user modeling
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 34353
Deposited By: Dr. Plamen Angelov
Deposited On: 11 Oct 2010 09:02
Refereed?: Yes
Published?: Published
Last Modified: 17 Sep 2013 08:21
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/34353

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