SIRS model for computer viruses propagation with time dependent delay and jumps

In this paper we propose stochastic SIRS model which describes propagation of two independent computer viruses. Randomness is introduced in the model by perturbing transmission rates via Brownian motion and Poisson jump. For this model, we theoretically prove that its solution is unique, global and positive. Furthermore, we derive conditions under which viruses become extinct from population. Also, conditions for stochastic strong persistence in mean of viruses will be obtained. In the end, we will present numerical simulations to illustrate our theoretical results using Euler-Maruyama method.

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Publication Details

Journal
Filomat
Published
2025-01-01
DOI
https://doi.org/10.2298/fil2508525d
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.88

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article

SIRS model for computer viruses propagation with time dependent delay and jumps

Jasmina Ðorđević, Milica Djordjevic
1 citations
Filomat
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
article

SIRS model for computer viruses propagation with time dependent delay and jumps

Jasmina Ðorđević, Milica Djordjevic
article en
1 citations

Abstract

In this paper we propose stochastic SIRS model which describes propagation of two independent computer viruses. Randomness is introduced in the model by perturbing transmission rates via Brownian motion and Poisson jump. For this model, we theoretically prove that its solution is unique, global and positive. Furthermore, we derive conditions under which viruses become extinct from population. Also, conditions for stochastic strong persistence in mean of viruses will be obtained. In the end, we will present numerical simulations to illustrate our theoretical results using Euler-Maruyama method.

FilomatVol. 39(8)
University of Nis (RS)
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Openalex Percentile: Top 13%
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
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