The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks

With the swift progress in communication and IT, information networks are increasingly integrated into our work and everyday life. This paper is dedicated to the study of the information network dynamics for a newly proposed fractional-order malware propagation model. Guided by the matrix theory of...

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Main Authors: Xueying Shi, An Luo, Xiaoping Chen, Ying Huang, Chengdai Huang, Xin Yin
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/12/23/3814
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author Xueying Shi
An Luo
Xiaoping Chen
Ying Huang
Chengdai Huang
Xin Yin
author_facet Xueying Shi
An Luo
Xiaoping Chen
Ying Huang
Chengdai Huang
Xin Yin
author_sort Xueying Shi
collection DOAJ
description With the swift progress in communication and IT, information networks are increasingly integrated into our work and everyday life. This paper is dedicated to the study of the information network dynamics for a newly proposed fractional-order malware propagation model. Guided by the matrix theory of eigenvalues, the local stability criteria for the model described above are investigated. In addition, Hopf bifurcation is under examination with time delay serving as the bifurcation parameter. Numerical simulations are used to validate the accuracy of theoretical outcomes.
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institution Kabale University
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publishDate 2024-12-01
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spelling doaj-art-757c8a0ef4ce41079a9d2d5bd6cbc8a82024-12-13T16:27:50ZengMDPI AGMathematics2227-73902024-12-011223381410.3390/math12233814The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information NetworksXueying Shi0An Luo1Xiaoping Chen2Ying Huang3Chengdai Huang4Xin Yin5Department of Mathematics, Taizhou University, Taizhou 225300, ChinaDepartment of Mathematics, Taizhou University, Taizhou 225300, ChinaDepartment of Mathematics, Taizhou University, Taizhou 225300, ChinaDepartment of Mathematics, Taizhou University, Taizhou 225300, ChinaSchool of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, ChinaDepartment of Mathematics, Taizhou University, Taizhou 225300, ChinaWith the swift progress in communication and IT, information networks are increasingly integrated into our work and everyday life. This paper is dedicated to the study of the information network dynamics for a newly proposed fractional-order malware propagation model. Guided by the matrix theory of eigenvalues, the local stability criteria for the model described above are investigated. In addition, Hopf bifurcation is under examination with time delay serving as the bifurcation parameter. Numerical simulations are used to validate the accuracy of theoretical outcomes.https://www.mdpi.com/2227-7390/12/23/3814malware propagation modelfractional-orderHopf bifurcationtime delayinformation networks
spellingShingle Xueying Shi
An Luo
Xiaoping Chen
Ying Huang
Chengdai Huang
Xin Yin
The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks
Mathematics
malware propagation model
fractional-order
Hopf bifurcation
time delay
information networks
title The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks
title_full The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks
title_fullStr The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks
title_full_unstemmed The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks
title_short The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks
title_sort dynamical behaviors of a fractional order malware propagation model in information networks
topic malware propagation model
fractional-order
Hopf bifurcation
time delay
information networks
url https://www.mdpi.com/2227-7390/12/23/3814
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