Advanced malware propagation on random complex networks

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...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2021-01, Vol.423, p.689-696
Main Authors: Martín del Rey, A., Hernández, G., Bustos Tabernero, A., Queiruga Dios, A.
Format: Article
Language:English
Subjects:
Advanced persistent threats (APTs)
Cellular automata
Individual-based model
Malware propagation
Random complex networks
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Summary: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.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2020.03.115