A HYBRID ANALYTICAL TECHNIQUE FOR TIME-FRACTIONAL MODELING OF COMPUTER VIRUS PROPAGATION

Abstract

The study of epidemic dynamics of computer viruses is an evolving discipline focused on studying the propagation of computer viruses across networks. This work aims to develop a series of epidemic models for computer viruses utilizing the Katugampola fractional derivative. This study aims to resolve the time-fractional computer virus propagation model using a hybrid approach that integrates the residual power series method with the generalized Laplace transform. In addition, an example demonstrates the fractional order α and the parameter ρ influence the dynamic behavior of the computer virus propagation model.