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Creating Evolving User Behavior Profiles Automatically.
- Source :
- IEEE Transactions on Knowledge & Data Engineering; May2012, Vol. 24 Issue 5, p854-867, 0p
- Publication Year :
- 2012
-
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 she/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 online 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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10414347
- Volume :
- 24
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Knowledge & Data Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 74075663
- Full Text :
- https://doi.org/10.1109/TKDE.2011.17