Abstract
In this work, we consider a fractional-order epidemiological model for computer viruses to study memory effects on population dynamics. This model is derived from a well-known integer-order epidemiological model and the Caputo fractional derivative. Our objective is to provide a rigorous mathematical analysis for dynamics of the fractional-order model. Here, positivity, linear invariant, asymptotic stability properties including local and global asymptotic stability, uniform and Mittag-Leffler stability are established. It is worth noting that the stability properties are investigated by a simple approach, which is based on stability theory for fractional-order dynamical systems and an appropriate linear Lyapunov function. As an important consequence, dynamical properties of the fractional-order model are determined fully. Additionally, a set of numerical experiments is conducted to support the theoretical findings. As we expect, the numerical results are consistent with the theoretical ones.
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References
Agarwal, R.P., O’Regan, D., Hristova, S.: Stability of Caputo fractional differential equations by Lyapunov functions. Appl. Math. 60, 653–676 (2015)
Aguila-Camacho, N., Duarte-Mermoud, A.M., Gallegos, J.A.: Lyapunov functions for fractional order systems. Commun. Nonlinear Sci. Numer. Simul. 19, 2951–2957 (2014)
Almeida, R.: Analysis of a fractional SEIR model with treatment. Appl. Math. Lett. 84, 56–62 (2018)
Baleanu, D., Machado, J.A.T., Luo, A.C.J.: Fractional Dynamics and Control. Springer, New York (2012)
Baleanu, D., Diethelm, K., Scalas, E., Trujillo, J.J.: Fractional Calculus: Models and Numerical Methods. World Scientific, Singapore (2021)
Baleanu, D., Agarwal, R.V.: Fractional calculus in the sky. Adv. Differ. Equ. 117 (2021)
Bonyah, E., Atangana, A., Khan, M.A.: Modeling the spread of computer virus via Caputo fractional and the beta-derivative. Asia Pacific J. Comput. Eng. 4, 1 (2017)
Caputo, M.: Linear models of dissipation whose Q is almost frequency independent-II. Geophys. J. Int. 13, 529–539 (1967)
Cohen, F.: Computer virus: theory and experiments. Comput. Security 6, 22–35 (1987)
Dang, Q.A., Hoang, M.T.: Positivity and global stability preserving NSFD schemes for a mixing propagation model of computer viruses. J. Comput. Appl. Math. 374, 112753 (2020)
Dang, Q.A., Hoang, M.T.: Numerical dynamics of nonstandard finite difference schemes for a computer virus propagation model, International Journal of. Dyn. Control 8, 772–778 (2020)
Dang, Q.A., Hoang, M.T., Dang, Q.L.: Nonstandard finite difference schemes for solving a modified epidemiological model for computer viruses. J. Comput. Sci. Cybernet. 32, 171–185 (2018)
Diethelm, K.: The Analysis of Fractional Differential Equations: An Application-Oriented Exposition Using Differential Operators of Caputo Type. Springer-Verlag, Berlin (2010)
Diethelm, K.: Monotonicity of functions and sign changes of their Caputo derivatives. Fraction. Calculus Appl. Anal. 19, 561–566 (2016). https://doi.org/10.1515/fca-2016-0029
Diethelm, K.: A fractional calculus based model for the simulation of an outbreak of dengue fever. Nonlinear Dyn. 71, 613–619 (2013)
Dokuyucu, M.A., Dutta, H., Yildirim, C.: Application of non-local and non-singular kernel to an epidemiological model with fractional order. Math. Methods Appl. Sci. 44, 3468–3484 (2021)
Duarte-Mermoud, M.A., Aguila-Camacho, N., Gallegos, A.J., Castro-Linares, R.: Using general quadratic Lyapunov functions to prove Lyapunov uniform stability for fractional order systems. Commun. Nonlinear Sci. Numer. Simul. 22, 650–659 (2015)
Freihat, A.A., Zurigat, M., Handam, A.H.: The multi-step homotopy analysis method for modified epidemiological model for computer viruses. Afrika Matematika 26, 585–596 (2015)
Gan, C., Yang, X., Zhu, Q., Jin, J., He, L.: The spread of computer virus under the effect of external computers. Nonlinear Dyn. 73, 1615–1620 (2013)
Gan, C., Yang, X., Liu, W., Zhu, Q., Zhang, X.: An epidemic model of computer viruses with vaccination and generalized nonlinear incidence rate. Appl. Math. Comput. 222, 265–274 (2013)
Gan, C., Yang, X., Liu, W., Zhu, Q.: A propagation model of computer virus with nonlinear vaccination probability. Commun. Nonlinear Sci. Numer. Simul. 19, 92–100 (2014)
Ghosh, U., Pal, S., Banerjee, M.: Memory effect on Bazykin’s prey-predator model: Stability and bifurcation analysis. Chaos Solitons Fractals 143, 110531 (2021)
Hoang, M.T.: Lyapunov Functions for Investigating Stability Properties of a Fractional-Order Computer Virus Propagation Model. Qualit. Theory Dyn. Syst. 20, 74 (2021)
Hoang, M.T., Nagy, A.M.: Uniform asymptotic stability of a Logistic model with feedback control of fractional order and nonstandard finite difference schemes. Chaos Solitons Fractals 123, 24–34 (2019)
Hu, Z., Wang, H., Liao, F., Ma, W.: Stability analysis of a computer virus model in latent period. Chaos Solitons Fractals 75, 20–28 (2015)
Kephart, J.O., White, S.R., Chess, D.M.: Computers and epidemiology. IEEE Spectrum 30, 20–26 (1993)
Khalil, H.K.: Nonlinear Systems, 3rd edn. Prentice Hall, London (2002)
Kheiri, H., Jafari, M.: Stability analysis of a fractional order model for the HIV/AIDS epidemic in a patchy environment. J. Comput. Appl. Math. 346, 323–339 (2019)
Kilbas, A.A., Srivastava, H.M., Trujillo, J.J.: Theory and Applications of Fractional Differential Equations, vol. 204, 1st edn. Elsevier Science Inc., New York (2006)
LaSalle, J.P.: The Stability of Dynamical Systems. SIAM, Philadelphia (1976)
Li, C., Zeng, F.: Finite difference methods for fractional differential equations. Int. J. Bifurc. Chaos 22, 1230014 (2012)
Li, C., Zeng, F.: The finite difference methods for fractional ordinary differential equations. Numer. Funct. Anal. Opt. 34(2), 149–179 (2013)
Li, C., Ma, Y.: Fractional dynamical system and its linearization theorem. Nonlinear Dyn. 71, 621–633 (2013)
Li, Y., Chen, Y., Podlubny, I.: Stability of fractional-order nonlinear dynamic systems: Lyapunov direct method and generalized Mittag-Leffler stability. Comput. Math. Appl. 59, 1810–1821 (2010)
Lin, W.: Global existence theory and chaos control of fractional differential equations. J. Math. Anal. Appl. 332, 709–726 (2007)
Lyapunov, A.M.: The general problem of the stability of motion. Int. J. Control 55, 531–534 (1992)
Matignon, D.: Stability result on fractional differential equations with applications to control processing. Computat. Eng. Syst. Appl. 2, 963–968 (1996)
Murray, W.: The application of epidemiology to computer viruses. Comput. Security 7, 139–150 (1988)
Odibat, Z.M., Shawagfeh, N.T.: Generalized Taylor’s formula. Appl. Math. Comput. 186, 286–293 (2007)
Piqueira, J.R.C., de Vasconcelos, A.A., Gabriel, C.E.C.J., Araujo, V.O.: Dynamic models for computer viruses. Comput. Security 27, 355–359 (2008)
Piqueira, J.R.C., Araujo, V.O.: A modified epidemiological model for computer viruses. Appl. Math. Comput. 213, 355–360 (2009)
Piqueira, J.R.C., Batistela, C.M.: Considering quarantine in the SIRA malware propagation model. Math. Prob. Eng. 2019, 6467104 (2019). https://doi.org/10.1155/2019/6467104
Podlubny, I.: Fractional Differential Equations. Academic Press, San Diego (1999)
Ren, J., Xu, Y.: A compartmental model for computer virus propagation with kill signals. Phys. A 486, 446–454 (2017)
Scherer, R., Kalla, S.L., Tang, Y., Huang, J.: The Grunwald-Letnikov method for fractional differential equations. Comput. Math. Appl. 62, 902–917 (2011)
Singh, J., Kumar, D., Hammouch, Z., Atangana, A.: A fractional epidemiological model for computer viruses pertaining to a new fractional derivative. Appl. Math. Comput. 316, 504–515 (2018)
Sun, H.G., Zhang, Y., Baleanu, D., Chen, W., Chen, Y.Q.: A new collection of real world applications of fractional calculus in science and engineering. Commun. Nonlinear Sci. Numer. Simul. 64, 213–231 (2018)
Wang, F., Yang, Y.: Fractional order Barbalat’s lemma and its applications in the stability of fractional order nonlinear systems. Math. Modell. Anal. 22, 503–513 (2017)
Yang, L.-X., Yang, X., Zhua, Q., Wen, L.: A computer virus model with graded cure rates. Nonlinear Anal. Real World Appl. 14, 414–422 (2013)
Yang, L.-X., Yang, X.: A new epidemic model of computer viruses. Commun. Nonlinear Sci. Numer. Simul. 19, 1935–1944 (2014)
Zhu, Q., Yang, X., Yang, L.-X., Zhang, X.: A mixing propagation model of computer viruses and countermeasures. Nonlinear Dyn. 73, 1433–1441 (2013)
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Hoang, M.T. Dynamics of a fractional-order epidemiological model for computer viruses. São Paulo J. Math. Sci. (2023). https://doi.org/10.1007/s40863-023-00382-8
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DOI: https://doi.org/10.1007/s40863-023-00382-8
Keywords
- Global dynamics
- Fractional differential equations
- Caputo fractional derivative
- Epidemiological models
- Computer viruses