A novel model for malware propagation on wireless sensor networks

Angel Martin-del Rey; Angel Martin-del Rey

doi:10.3934/mbe.2024176

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 3: 3967-3998. doi: 10.3934/mbe.2024176

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A novel model for malware propagation on wireless sensor networks

Angel Martin-del Rey ^,

Universidad de Salamanca, Department of Applied Mathematics, IUFFyM, 37008-Salamanca, Spain

Academic Editor: Jichao Bi

Received: 27 November 2023 Revised: 25 January 2024 Accepted: 29 January 2024 Published: 22 February 2024

The main goal of this work was to propose a novel mathematical model for malware propagation on wireless sensor networks (WSN). Specifically, the proposed model was a compartmental and global one whose temporal dynamics were described by means of a system of ordinary differential equations. This proposal was more realistic than others that have appeared in the scientific literature since. On the one hand, considering the specifications of malicious code propagation, several types of nodes were considered (susceptible, patched susceptible, latent non-infectious, latent infectious, compromised non-infectious, compromised infectious, damaged, ad deactivated), and on the other hand, a new and more realistic term of the incidence was defined and used based on some particular characteristics of transmission protocol on wireless sensor networks.
- wireless sensor networks,
- malware propagation,
- basic reproductive number,
- mathematical epidemiology,
- cybersecurity
Citation: Angel Martin-del Rey. A novel model for malware propagation on wireless sensor networks[J]. Mathematical Biosciences and Engineering, 2024, 21(3): 3967-3998. doi: 10.3934/mbe.2024176

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Abstract

The main goal of this work was to propose a novel mathematical model for malware propagation on wireless sensor networks (WSN). Specifically, the proposed model was a compartmental and global one whose temporal dynamics were described by means of a system of ordinary differential equations. This proposal was more realistic than others that have appeared in the scientific literature since. On the one hand, considering the specifications of malicious code propagation, several types of nodes were considered (susceptible, patched susceptible, latent non-infectious, latent infectious, compromised non-infectious, compromised infectious, damaged, ad deactivated), and on the other hand, a new and more realistic term of the incidence was defined and used based on some particular characteristics of transmission protocol on wireless sensor networks.

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