Publication:
Evolving Systems for Computer User Behavior Classification

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.accessioned2016-09-22T09:57:16Z
dc.date.available2016-09-22T09:57:16Z
dc.date.issued2013
dc.description.abstractA computer can keep track of computer users to improve the security in the system. However, this does not prevent a user from impersonating another user. Only the user behavior recognition can help to detect masqueraders. Under the UNIX operating system, users type several commands which can be analyzed in order to create user profiles. These profiles identify a specific user or a specific computer user behavior. In addition, a computer user behavior changes over time. If the behavior recognition is done automatically, these changes need to be taken into account. For this reason, we propose in this paper a simple evolving method that is able to keep up to date the computer user behavior profiles. This method is based on Evolving Fuzzy Systems. The approach is evaluated using real data streams.en
dc.description.sponsorshipThis work has been supported by the Spanish Government under i-Support (Intelligent Agent Based Driver Decision Support) Project (TRA2011-29454-C03-03).en
dc.format.extent7
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationEvolving and Adaptive Intelligent Systems (EAIS), 2013 IEEE Conference on. : IEEE Computer Society. Pp. 78-83
dc.identifier.isbn978-1-4673-5855-2
dc.identifier.publicationfirstpage78
dc.identifier.publicationlastpage83
dc.identifier.publicationtitleEvolving and Adaptive Intelligent Systems (EAIS), 2013 IEEE Conference on
dc.identifier.urihttps://hdl.handle.net/10016/23611
dc.identifier.uxxiCC/0000021693
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate16-19 April 2013en
dc.relation.eventplaceSingaporeen
dc.relation.eventtitle2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS
dc.relation.projectIDGobierno de España. TRA2011-29454-C03-03es
dc.relation.projectIDGobierno de España. TRA2013-48314-C3-1-Res
dc.relation.publisherversionhttp://dx.doi.org/10.1109/EAIS.2013.6604108
dc.rights© 2013 IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformáticaes
dc.subject.otherPrototypesen
dc.subject.otherComputersen
dc.subject.otherComputational modelingen
dc.subject.otherHidden Markov modelsen
dc.subject.otherTrainingen
dc.subject.otherData modelsen
dc.subject.otherMathematical modelen
dc.titleEvolving Systems for Computer User Behavior Classificationen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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