On incommensurate chaotic fractional discrete model of computer virus: stabilization and synchronization

The chaotic propagation of computer viruses presents a significant challenge in cybersecurity, necessitating advanced mathematical models for understanding and controlling their spread. In this study, we investigate the stabilization and synchronization of chaos in a fractional-order discrete computer virus model with incommensurate order. We begin by analyzing the chaotic behavior of the incommensurate fractional virus model, thereby employing tools such as bifurcation diagrams, phase portraits, and Lyapunov exponents to characterize its nonlinear dynamics. The results reveal that the system exhibits chaotic behavior under specific parameter conditions, which results in unpredictable virus spread. To mitigate these chaotic effects, we implement stabilization strategies aimed at stabilizing the system and suppressing chaotic outbreaks. Additionally, we explore synchronization techniques, which are of paramount importance in understanding virus interactions within networked systems. Numerical results are presented to corroborate the theoretical findings presented in this paper.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025890
Citations
5
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
9.39
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article

On incommensurate chaotic fractional discrete model of computer virus: stabilization and synchronization

Omar Kahouli, Adel Ouannas, Ma’mon Abu Hammad, Mohamed Yassine Ayari et al.
5 citations
AIMS Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
9.39
article

On incommensurate chaotic fractional discrete model of computer virus: stabilization and synchronization

Omar Kahouli, Adel Ouannas, Ma’mon Abu Hammad, Mohamed Yassine Ayari, Imane Zouak
article en
5 citations

Abstract

The chaotic propagation of computer viruses presents a significant challenge in cybersecurity, necessitating advanced mathematical models for understanding and controlling their spread. In this study, we investigate the stabilization and synchronization of chaos in a fractional-order discrete computer virus model with incommensurate order. We begin by analyzing the chaotic behavior of the incommensurate fractional virus model, thereby employing tools such as bifurcation diagrams, phase portraits, and Lyapunov exponents to characterize its nonlinear dynamics. The results reveal that the system exhibits chaotic behavior under specific parameter conditions, which results in unpredictable virus spread. To mitigate these chaotic effects, we implement stabilization strategies aimed at stabilizing the system and suppressing chaotic outbreaks. Additionally, we explore synchronization techniques, which are of paramount importance in understanding virus interactions within networked systems. Numerical results are presented to corroborate the theoretical findings presented in this paper.

AIMS MathematicsVol. 10(8)
Northern Border University (SA), Al-Zaytoonah University of Jordan (JO), Larbi Ben M'hidi University of Oum El Bouaghi (DZ), University of Ha'il (SA)
Openalex Percentile: Top 2%
Mathematical and Theoretical Epidemiology and Ecology Models
9.39
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On incommensurate chaotic fractional discrete model of computer virus: stabilization and synchronization — Omar Kahouli, Adel Ouannas, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS