Dynamics of Multi-Strain Malware Epidemics over Duty-Cycled Wireless Sensor Networks

Fedorov, Dmitriy; Tabarak, Yrys; Dadlani, Aresh; Kumar, Muthukrishnan Senthil; Kizheppatt, Vipin

doi:10.1109/balkancom53780.2021.9593147

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2023

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“…Due to the exposed nodes in WSNs, they may have different infection rates during malware propagation, Yu et al [13] proposed the improved SEIR model with two infectious rates in the cyber-physical systems to explore the transition mechanism. Dmitriy et al [14] divided infectious nodes into susceptible-infected by strain 1 or by strain 2susceptible with duty cycles. The basic reproduction number and the stability were analyzed in their work.…”

Section: Introductionmentioning

confidence: 99%

Dynamical behaviors of an epidemic model for malware propagation in wireless sensor networks

et al. 2023

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To explore malware propagation mechanisms in networks and to develop optimal strategies for controlling the spread of malware, we propose a susceptible-unexposed-infected-isolation-removed epidemic model. First, we establish a non-linear dynamic equation of malware propagation. Then, the basic reproductive number is derived by using the next-generation method. Finally, we carry out numerical simulations to observe the malware spreading in WSNs to verify the obtained theoretical results. Furthermore, we investigate the communication range of the nodes to make the results more complete. The optimal range of the nodes is designed to control malware propagation.

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Section: Introductionmentioning

confidence: 99%