Publication: Vulnerability of state-interdependent networks under malware spreading
dc.affiliation.dpto | UC3M. Departamento de Matemáticas | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC) | es |
dc.contributor.author | Vida, Rafael | es |
dc.contributor.author | Galeano, Javier | es |
dc.contributor.author | Cuenda, Sara | es |
dc.date.accessioned | 2015-07-24T09:25:51Z | |
dc.date.available | 2017-03-31T22:00:08Z | |
dc.date.issued | 2015-03 | es |
dc.description.abstract | Computer 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.sponsorship | The 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.status | Publicado | es |
dc.format.extent | 7 | es |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | Physica A: Statistical Mechanics and its Applications 421 (March 2015) pp.134-140 | en |
dc.identifier.doi | 10.1016/j.physa.2014.11.029 | es |
dc.identifier.issn | 0378-4371 | es |
dc.identifier.publicationfirstpage | 134 | es |
dc.identifier.publicationlastpage | 140 | es |
dc.identifier.publicationtitle | Physica A: Statistical Mechanics and its Applications | en |
dc.identifier.publicationvolume | 421 | es |
dc.identifier.uri | https://hdl.handle.net/10016/21458 | |
dc.identifier.uxxi | AR/0000017078 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | en |
dc.relation.projectID | Gobierno de España. FIS2011-22449/PRODIEVO | es |
dc.relation.projectID | Comunidad de Madrid. S2009/ESP-1691/MODELICO | es |
dc.relation.projectID | Gobierno de España. MTM2012-39101-C02-01 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.physa.2014.11.029 | es |
dc.rights | © 2014 Elsevier | en |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.accessRights | open access | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject.eciencia | Matemáticas | es |
dc.subject.other | Networks | en |
dc.subject.other | Multiplex networks | en |
dc.subject.other | Interdependent networks | en |
dc.subject.other | Markov processes | en |
dc.subject.other | Contagion spreading | en |
dc.subject.other | Percolation | en |
dc.title | Vulnerability of state-interdependent networks under malware spreading | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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