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

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dc.contributor.author Iglesias Martínez, José Antonio
dc.contributor.author Ledezma Espino, Agapito Ismael
dc.contributor.author Sanchis de Miguel, María Araceli
dc.date.accessioned 2011-03-22T15:38:07Z
dc.date.available 2011-03-22T15:38:07Z
dc.date.issued 2009
dc.identifier.bibliographicCitation User Modeling, Adaptation, and Personalization, Lecture notes in computer science, 2009, vol. 5535, pp. 90–101
dc.identifier.isbn 978-3-642-02246-3
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10016/10557
dc.description Proceeding of: 17th International Conference on User Modeling, Adaptation, and Personalization (UMAP), Trento, Italy, June 22-26 2009.
dc.description.abstract Knowledge 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.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.rights © Springer-Verlag Berlin Heidelberg
dc.title Creating user profiles from a command-line interface: a statistical approach
dc.type bookPart
dc.type conferenceObject
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-642-02247-0_11
dc.subject.eciencia Informática
dc.identifier.doi 10.1007/978-3-642-02247-0_11
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.relation.eventdate June 22-26 2009
dc.relation.eventnumber 17
dc.relation.eventplace Trento (Italy)
dc.relation.eventtitle International Conference on User Modeling, Adaptation, and Personalization (UMAP)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 90
dc.identifier.publicationlastpage 101
dc.identifier.publicationtitle User Modeling, Adaptation, and Personalization
dc.identifier.publicationvolume 5535
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