Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays

In this paper, the stability and Hopf bifurcation of a fractional-order model of the Susceptible-Exposed-Infected-Kill Signals Recovered (SEIR-KS) computer virus with two delays are studied. The sufficient conditions for solving the stability and the occurrence of Hopf bifurcation of the system are...

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Main Authors: Zhufeng Wang, Xiaoqian Nie, Maoxin Liao
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/6144953
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author Zhufeng Wang
Xiaoqian Nie
Maoxin Liao
author_facet Zhufeng Wang
Xiaoqian Nie
Maoxin Liao
author_sort Zhufeng Wang
collection DOAJ
description In this paper, the stability and Hopf bifurcation of a fractional-order model of the Susceptible-Exposed-Infected-Kill Signals Recovered (SEIR-KS) computer virus with two delays are studied. The sufficient conditions for solving the stability and the occurrence of Hopf bifurcation of the system are established by using Laplace transform, stability theory, and Hopf bifurcation theorem of fractional-order differential systems. The research shows that time delays and fractional order q have an important effect on the stability and the emergence of Hopf bifurcation of the fractional computer virus model. In addition, the validity of the theoretical analysis is verified by selecting appropriate system parameters for numerical simulation and the biological correlation of the equilibrium point is discussed. The results show that the bifurcation point of the model increases with the decrease in the model fractional order q. Under the same fractional order q, the effects of different types of delays on bifurcation points are obviously different.
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institution Kabale University
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publishDate 2021-01-01
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spelling doaj-art-bcb93bbd1993443394bd7d9ceddee6ca2025-02-03T01:04:17ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/61449536144953Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two DelaysZhufeng Wang0Xiaoqian Nie1Maoxin Liao2Department of Foundation, Southwest Jiaotong University Hope College, Chengdu, Sichuan 610400, ChinaDepartment of Accounting, Southwest Jiaotong University Hope College, Chengdu, Sichuan 610400, ChinaSchool of Mathematics and Physics, University of South China, Hengyang, Hunan 421001, ChinaIn this paper, the stability and Hopf bifurcation of a fractional-order model of the Susceptible-Exposed-Infected-Kill Signals Recovered (SEIR-KS) computer virus with two delays are studied. The sufficient conditions for solving the stability and the occurrence of Hopf bifurcation of the system are established by using Laplace transform, stability theory, and Hopf bifurcation theorem of fractional-order differential systems. The research shows that time delays and fractional order q have an important effect on the stability and the emergence of Hopf bifurcation of the fractional computer virus model. In addition, the validity of the theoretical analysis is verified by selecting appropriate system parameters for numerical simulation and the biological correlation of the equilibrium point is discussed. The results show that the bifurcation point of the model increases with the decrease in the model fractional order q. Under the same fractional order q, the effects of different types of delays on bifurcation points are obviously different.http://dx.doi.org/10.1155/2021/6144953
spellingShingle Zhufeng Wang
Xiaoqian Nie
Maoxin Liao
Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
Journal of Mathematics
title Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
title_full Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
title_fullStr Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
title_full_unstemmed Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
title_short Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
title_sort stability analysis of a fractional order seir ks computer virus spreading model with two delays
url http://dx.doi.org/10.1155/2021/6144953
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AT xiaoqiannie stabilityanalysisofafractionalorderseirkscomputervirusspreadingmodelwithtwodelays
AT maoxinliao stabilityanalysisofafractionalorderseirkscomputervirusspreadingmodelwithtwodelays