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A reliable numerical algorithm based on an operational matrix method for treatment of a fractional order computer virus model

Jagdev Singh, Jitendra Kumar, Devendra Kumar, Dumitru Bǎleanu

2024AIMS Mathematics16 citationsDOIOpen Access PDF

Abstract

<abstract><p>A computer network can detect potential viruses through the use of kill signals, thereby minimizing the risk of virus propagation. In the realm of computer security and defensive strategies, computer viruses play a significant role. Understanding of their spread and extension is a crucial component. To address this issue of computer virus spread, we employ a fractional epidemiological SIRA model by utilizing the Caputo derivative. To solve the fractional-order computer virus model, we employ a computational technique known as the Jacobi collocation operational matrix method. This operational matrix transforms the problem of arbitrary order into a system of nonlinear algebraic equations. To analyze this system of arbitrary order, we derive an approximate solution for the fractional computer virus model, also considering the Vieta Lucas polynomials. Numerical simulations are performed and graphical representations are provided to illustrate the impact of order of the fractional derivative on different profiles.</p></abstract>

Topics & Concepts

Fractional calculusCollocation (remote sensing)Computer scienceOrder (exchange)Matrix (chemical analysis)AlgorithmApplied mathematicsMathematicsComposite materialFinanceEconomicsMaterials scienceMachine learningFractional Differential Equations SolutionsMathematical and Theoretical Epidemiology and Ecology ModelsAdvanced Differential Equations and Dynamical Systems
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