Evolving Systems for Computer User Behavior Classification

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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 2016-09-22T09:57:16Z
dc.date.available 2016-09-22T09:57:16Z
dc.date.issued 2013
dc.identifier.bibliographicCitation Evolving and Adaptive Intelligent Systems (EAIS), 2013 IEEE Conference on. : IEEE Computer Society. Pp. 78-83
dc.identifier.isbn 978-1-4673-5855-2
dc.identifier.uri http://hdl.handle.net/10016/23611
dc.description.abstract A 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.
dc.description.sponsorship This work has been supported by the Spanish Government under i-Support (Intelligent Agent Based Driver Decision Support) Project (TRA2011-29454-C03-03).
dc.format.extent 7
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2013 IEEE
dc.subject.other Prototypes
dc.subject.other Computers
dc.subject.other Computational modeling
dc.subject.other Hidden Markov models
dc.subject.other Training
dc.subject.other Data models
dc.subject.other Mathematical model
dc.title Evolving Systems for Computer User Behavior Classification
dc.type conferenceObject
dc.type bookPart
dc.relation.publisherversion http://dx.doi.org/10.1109/EAIS.2013.6604108
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TRA2011-29454-C03-03
dc.relation.projectID Gobierno de España. TRA2013-48314-C3-1-R
dc.type.version acceptedVersion
dc.relation.eventdate 16-19 April 2013
dc.relation.eventplace Singapore
dc.relation.eventtitle 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 78
dc.identifier.publicationlastpage 83
dc.identifier.publicationtitle Evolving and Adaptive Intelligent Systems (EAIS), 2013 IEEE Conference on
dc.identifier.uxxi CC/0000021693
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