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Vulnerability of state-interdependent networks under malware spreading

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dc.affiliation.dptoUC3M. Departamento de Matemáticases
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC)es
dc.contributor.authorVida, Rafaeles
dc.contributor.authorGaleano, Javieres
dc.contributor.authorCuenda, Saraes
dc.date.accessioned2015-07-24T09:25:51Z
dc.date.available2017-03-31T22:00:08Z
dc.date.issued2015-03es
dc.description.abstractComputer viruses are evolving by developing spreading mechanisms based on the use of multiple vectors of propagation. The use of the social network as an extra vector of attack to penetrate the security measures in IP networks is improving the effectiveness of malware, and have therefore been used by the most aggressive viruses, like Conficker and Stuxnet. In this work we use interdependent networks to model the propagation of these kind of viruses. In particular, we study the propagation of a SIS model on interdependent networks where the state of each node is layer-independent and the dynamics in each network follows either a contact process or a reactive process, with different propagation rates. We apply this study to the case of existing interdependent networks, namely a Spanish scientific community of Statistical Physics, formed by a social network of scientific collaborations and a physical network of connected computers in each institution. We show that the interplay between layers increases dramatically the infectivity of viruses in the long term and their robustness against immunization.en
dc.description.sponsorshipThe financial support of MINECO through grants MTM2012-39101 for J.G. and FIS2011-22449 (PRODIEVO) for S.C., and of CM through grant S2009/ESP-1691 (MODELICO) for J.G. and S.C.en
dc.description.statusPublicadoes
dc.format.extent7es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationPhysica A: Statistical Mechanics and its Applications 421 (March 2015) pp.134-140en
dc.identifier.doi10.1016/j.physa.2014.11.029es
dc.identifier.issn0378-4371es
dc.identifier.publicationfirstpage134es
dc.identifier.publicationlastpage140es
dc.identifier.publicationtitlePhysica A: Statistical Mechanics and its Applicationsen
dc.identifier.publicationvolume421es
dc.identifier.urihttps://hdl.handle.net/10016/21458
dc.identifier.uxxiAR/0000017078es
dc.language.isoenges
dc.publisherElsevieren
dc.relation.projectIDGobierno de España. FIS2011-22449/PRODIEVOes
dc.relation.projectIDComunidad de Madrid. S2009/ESP-1691/MODELICOes
dc.relation.projectIDGobierno de España. MTM2012-39101-C02-01es
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.physa.2014.11.029es
dc.rights© 2014 Elsevieren
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaMatemáticases
dc.subject.otherNetworksen
dc.subject.otherMultiplex networksen
dc.subject.otherInterdependent networksen
dc.subject.otherMarkov processesen
dc.subject.otherContagion spreadingen
dc.subject.otherPercolationen
dc.titleVulnerability of state-interdependent networks under malware spreadingen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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