Towards a user network profiling for internal security using top-K rankings similarity measures

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dc.contributor.authorParres-Peredo, Álvaro I.
dc.contributor.authorPiza-Dávila, Hugo I.
dc.contributor.authorCervantes, Francisco
dc.date.accessioned2017-10-16T16:13:40Z
dc.date.available2017-10-16T16:13:40Z
dc.date.issued2017-07
dc.descriptionA major goal of current computer network security systems is to protect the network from outside attackers; however, protecting the network from its own users is still an unattended problem. In campus area networks, the risk of having internal attacks is high because of their topologies and the amount of users. This work proposes a new approach to identify whether a network user is having or not a normal behavior, by analyzing host traffic using top-k ranking similarity measures. The result of this analysis could be an input of intrusion detection systems. The document presents an experiment where real-time traffic of different users in a campus area network is compared to a reference traffic that corresponds to one of them.es
dc.identifier.citationA.I. Parres-Peredo; H.I. Piza-Davila and F. Cervantes (2017). Towards a user network profiling for internal security using top-k rankings similarity measures. In 40th Int. Conf. Telecommunications and Signal Processing (TSP 2017), Barcelona, Spain, pp.16-19. https://rei.iteso.mx/handle/11117/5009es
dc.identifier.isbn978-1-5090-3982-1
dc.identifier.urihttp://hdl.handle.net/11117/5009
dc.language.isoenges
dc.publisherIEEEes
dc.relation.ispartofseriesInt. Conf. Telecommunications and Signal Processing;40th
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectSeguridad Informáticaes
dc.subjectPerfil de Usuarioses
dc.subjectRedes de Computadorases
dc.subjectTop-K Rankingses
dc.subjectAnálisis de Trafico de Redes
dc.titleTowards a user network profiling for internal security using top-K rankings similarity measureses
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisor40th Int. Conf. Telecommunications and Signal Processing

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