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Control of Chaos in Fractional Computer Virus Model

  • University of Petra
  • University of Oum El Bouaghi
  • Abdelhamid Mehri Constantine 2 University
  • Al-Zaytoonah University of Jordan
  • University of Jordan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper investigates the control of fractional discrete computer virus model. By employing fractional-order difference equations, we capture the complex dynamics and long- term memory effects inherent in virus propagation. A novel control strategy is proposed to stabilize the system and suppress virus outbreaks. The stability analysis of the controlled system is conducted. Numerical simulations are presented to validate the effectiveness of the proposed control approach. The results underscore the importance of control in managing fractional-order systems and highlight its potential applications in cyber security and other fields requiring precise regulation of complex dynamics.

Original languageEnglish
Title of host publication2025 1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331523657
DOIs
StatePublished - 2025
Event1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025 - Amman, Jordan
Duration: 28 Apr 202530 Apr 2025

Publication series

Name2025 1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025 - Proceedings

Conference

Conference1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025
Country/TerritoryJordan
CityAmman
Period28/04/2530/04/25

Keywords

  • computer virus model
  • control theory
  • fractional discrete systems
  • numerical simulations

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