Research Article

Bifurcation analysis of a computer virus propagation model

Volume: 50 Number: 5 October 15, 2021
EN

Bifurcation analysis of a computer virus propagation model

Abstract

We propose a mathematical model for investigating the efficacy of Countermeasure Competing (CMC) strategy which is a method for reducing the effect of computer virus attacks. Using the Centre Manifold Theory, we determine conditions under which a subcritical (backward) bifurcation occurs at Basic Reproduction Number $R_{0}=1$. In order to illustrate the theoretical findings, we construct a new Nonstandard Finite Difference Scheme (NSFD) that preserves the bifurcation property at $R_{0}=1$ among other dynamics of the continuous model. Earlier results given by Chen and Carley [The impact of countermeasure propagation on the prevalence of computer viruses, IEEE Trans. Syst., Man, Cybern. B. Cybern. 2004] show that the CMC strategy is effective when the countermeasure propagation rate is higher than the virus spreading rate. Our results reveal that even if this condition is not met, the CMC strategy may still successfully eradicate computer viruses depending on the extent of its effectiveness. 

Keywords

References

  1. [1] R. Anguelov and J.M-S. Lubuma, Contributions to the mathematics of the nonstandard finite difference method and applications, Numer. Methods Partial Differential Equations, 17, 518–543, 2001.
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  3. [3] R. Anguelov, K. Dukuza and J.M-S. Lubuma, Backward bifurcation analysis for two continuous and discrete epidemiological models, Math. Methods Appl. Sci. 41 (18), 8784– 8798, 2018.
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  6. [6] L.C. Chen and K.M. Carley, The impact of countermeasure propagation on the preva- lence of computer viruses, IEEE Trans. Syst., Man, Cybern. B. Cybern. 34 (2), 823–833, 2004.
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Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Publication Date

October 15, 2021

Submission Date

June 7, 2020

Acceptance Date

April 26, 2021

Published in Issue

Year 2021 Volume: 50 Number: 5

APA
Dukuza, K. (2021). Bifurcation analysis of a computer virus propagation model. Hacettepe Journal of Mathematics and Statistics, 50(5), 1384-1400. https://doi.org/10.15672/hujms.747872
AMA
1.Dukuza K. Bifurcation analysis of a computer virus propagation model. Hacettepe Journal of Mathematics and Statistics. 2021;50(5):1384-1400. doi:10.15672/hujms.747872
Chicago
Dukuza, Kenneth. 2021. “Bifurcation Analysis of a Computer Virus Propagation Model”. Hacettepe Journal of Mathematics and Statistics 50 (5): 1384-1400. https://doi.org/10.15672/hujms.747872.
EndNote
Dukuza K (October 1, 2021) Bifurcation analysis of a computer virus propagation model. Hacettepe Journal of Mathematics and Statistics 50 5 1384–1400.
IEEE
[1]K. Dukuza, “Bifurcation analysis of a computer virus propagation model”, Hacettepe Journal of Mathematics and Statistics, vol. 50, no. 5, pp. 1384–1400, Oct. 2021, doi: 10.15672/hujms.747872.
ISNAD
Dukuza, Kenneth. “Bifurcation Analysis of a Computer Virus Propagation Model”. Hacettepe Journal of Mathematics and Statistics 50/5 (October 1, 2021): 1384-1400. https://doi.org/10.15672/hujms.747872.
JAMA
1.Dukuza K. Bifurcation analysis of a computer virus propagation model. Hacettepe Journal of Mathematics and Statistics. 2021;50:1384–1400.
MLA
Dukuza, Kenneth. “Bifurcation Analysis of a Computer Virus Propagation Model”. Hacettepe Journal of Mathematics and Statistics, vol. 50, no. 5, Oct. 2021, pp. 1384-00, doi:10.15672/hujms.747872.
Vancouver
1.Kenneth Dukuza. Bifurcation analysis of a computer virus propagation model. Hacettepe Journal of Mathematics and Statistics. 2021 Oct. 1;50(5):1384-400. doi:10.15672/hujms.747872

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