| 英文摘要 |
As mobile viruses proliferate, critical challenges have been raised in maintaining security, including data breaches, unautho¬rized charges, remote eavesdropping, and privacy violations, which are all critical trials of mobile automation and security. Under¬standing and mitigating the propagation mechanisms in vulnerable and exposed systems would require governing these intimidated threats. In this paper, mathematical model is being used to stimulate the propagation of viruses with restoration impact that focuses on the key parameters such as susceptible, infected and recovered populations. The model is solved using Adam numerical solver as well as explicit and implicit Runge-Kutta methods to analyze the dynamics of the spread of the virus and their comparative anal¬yses. We present detailed solution graphs and assess the absolute error between the methods to measure computational efficiency and accuracy. The results provide insight into the driving factors behind virus propagation, as well as the reliability and robustness of the Adam solver. Furthermore, our results and findings serves as a foundation for developing progressive and liberal strategies to confine virus propagation and enhance the pliability of mobile networks. |
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