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dc.contributor.author | Martín del Rey, Ángel María | |
dc.contributor.author | Hernández, G. | |
dc.contributor.author | Bustos Tabernero, A. | |
dc.contributor.author | Queiruga Dios, María Araceli | |
dc.date.accessioned | 2024-02-05T12:27:52Z | |
dc.date.available | 2024-02-05T12:27:52Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 0925-2312 | |
dc.identifier.uri | http://hdl.handle.net/10366/155343 | |
dc.description.abstract | [EN]In this work a novel model to simulate advanced malware spreading is introduced and analyzed. It is an individual-based model such that the dynamics of the malware outbreak is governed by means of a cellular automaton. The network topologies considered are complex random networks and each device is endowed at every step of time with one of the following possible states: susceptible, infected, attacked and recovered. A study analyzing the influence of topology variability and the structural characteristics of initially infected devices is done. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Malware propagation | es_ES |
dc.subject | Random complex network | es_ES |
dc.subject | Individual-based model | es_ES |
dc.subject | Cellular automata | es_ES |
dc.subject | Advanced persistent threats (APTs) | es_ES |
dc.title | Advanced malware propagation on random complex networks | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publishversion | https://doi.org/10.1016/j.neucom.2020.03.115 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.journal.title | Neurocomputing | es_ES |
dc.volume.number | 423 | es_ES |
dc.page.initial | 689 | es_ES |
dc.page.final | 696 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/submittedVersion | es_ES |