Impact of Noise on an E-Epidemic Scenario: A Mathematical Approach

Abstract:  In order to comprehend the rate at which computers in one network become infected by others and the role that antivirus software plays in recovery, we have developed a mathematical model for computer virus propagation that is susceptible to infection. In this research, we describe the interaction between susceptible and infected computers and use Fourier transform and numerical stimulations to understand its stochastic stability. The graphical comprehension of steadiness is provided by MATLAB.

    Keywords: Susceptible, Infected, Antivirus, Stability, Fourier Transform, Variance,

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