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Creating user profiles from a command-line interface: a statistical approach

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorIglesias Martínez, José Antonio
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-03-22T15:38:07Z
dc.date.available2011-03-22T15:38:07Z
dc.date.issued2009
dc.descriptionProceeding of: 17th International Conference on User Modeling, Adaptation, and Personalization (UMAP), Trento, Italy, June 22-26 2009.
dc.description.abstractKnowledge about computer users is very beneficial for assisting them, predicting their future actions or detecting masqueraders. In this paper, an approach for creating and recognizing automatically the behavior profile of a user from the commands (s)he types in a commandline interface, is presented. Specifically, in this research, a computer user behavior is represented as a sequence of UNIX commands. This sequence is transformed into a distribution of relevant subsequences in order to find out a profile that defines its behavior. Then, statistical methods are used for recognizing a user from the commands (s)he types. The experiment results, using 2 different sources of UNIX command data, show that a system based on our approach can efficiently recognize a UNIX user. In addition, a comparison with a HMM-base method is done. Because a user profile usually changes constantly, we also propose a method to keep up to date the created profiles using an age-based mechanism.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationUser Modeling, Adaptation, and Personalization, Lecture notes in computer science, 2009, vol. 5535, pp. 90–101
dc.identifier.doi10.1007/978-3-642-02247-0_11
dc.identifier.isbn978-3-642-02246-3
dc.identifier.issn0302-9743
dc.identifier.publicationfirstpage90
dc.identifier.publicationlastpage101
dc.identifier.publicationtitleUser Modeling, Adaptation, and Personalization
dc.identifier.publicationvolume5535
dc.identifier.urihttps://hdl.handle.net/10016/10557
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateJune 22-26 2009
dc.relation.eventnumber17
dc.relation.eventplaceTrento (Italy)
dc.relation.eventtitleInternational Conference on User Modeling, Adaptation, and Personalization (UMAP)
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-02247-0_11
dc.rights© Springer-Verlag Berlin Heidelberg
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleCreating user profiles from a command-line interface: a statistical approach
dc.typeconference paper*
dc.type.hasVersionAM*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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