Título
Advanced malware propagation on random complex networks
Autor(es)
Palabras clave
Malware propagation
Random complex network
Individual-based model
Cellular automata
Advanced persistent threats (APTs)
Fecha de publicación
2021
Editor
Elsevier
Citación
A. Martín del Rey, G. Hernández, A. Bustos Tabernero, A. Queiruga Dios,
Advanced malware propagation on random complex networks,
Neurocomputing,
Volume 423,
2021,
Pages 689-696,
ISSN 0925-2312,
https://doi.org/10.1016/j.neucom.2020.03.115.
(https://www.sciencedirect.com/science/article/pii/S0925231220307311)
Resumen
[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.
URI
ISSN
0925-2312
DOI
10.1016/j.neucom.2020.03.115
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