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Design and Analysis of an Individual-Based Model for Malware Propagation on IoT Networks

Author

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  • A. Martín del Rey

    (Department of Applied Mathematics, Universidad de Salamanca, 37008 Salamanca, Spain)

Abstract

The main goal of this work is to propose a novel compartmental SEA (Susceptible–Exposed–Attacked) model to simulate malware spreading on an IoT (Internet of Things) network. This is a deterministic and individual-based model, whose main novelty compared to others lies in the used of continuous mathematical techniques, such as ordinary differential equations, in the description of local transition rules that define the changes of the states of the devices. These states are given by probability vectors representing the probabilities of being susceptible, exposed and attacked at each step of time. The qualitative study of the model is presented, and several simulations are performed.

Suggested Citation

  • A. Martín del Rey, 2023. "Design and Analysis of an Individual-Based Model for Malware Propagation on IoT Networks," Mathematics, MDPI, vol. 12(1), pages 1-19, December.
    • Handle: RePEc:gam:jmathe:v:12:y:2023:i:1:p:58-:d:1306656
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    References listed on IDEAS

    as
    1. Kumari, Sangeeta & Upadhyay, Ranjit Kumar, 2021. "Exploring the behavior of malware propagation on mobile wireless sensor networks: Stability and control analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 246-269.
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