A New Individual-Based Model to Simulate Malware Propagation in Wireless Sensor Networks

Farrah Kristel Batista, Angel Martín del Rey and Araceli Queiruga-Dios
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Farrah Kristel Batista: Department of Applied Mathematics, University of Salamanca, 37008-Salamanca, Spain
Angel Martín del Rey: Institute of Fundamental Physics and Mathematics, Department of Applied Mathematics, University of Salamanca, 37008-Salamanca, Spain
Araceli Queiruga-Dios: Institute of Fundamental Physics and Mathematics, Department of Applied Mathematics, University of Salamanca, 37008-Salamanca, Spain

Mathematics, 2020, vol. 8, issue 3, 1-23

Abstract: Wireless Sensor Networks (WSNs) are a set of sensor devices deployed in a given area that form a network without a pre-established architecture. Recently, malware has increased as a potential vulnerability for the Internet of Things, and consequently for these networks. The spread of malware on wireless sensor networks has been studied from different perspectives, excluding individual characteristics in most of the models proposed. The primary goal of this work is to introduce an Agent-Based Model for analysing malware propagation on these networks, and its agents, coefficients and transition rules are detailed. Finally, some simulations of the proposed model are included.

Keywords: wireless sensor network; agent-based model; malware; mathematical model; cybersecurity (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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