Infection Dynamics of Self-Evolving Botnets with Deterministic Modeling

Abstract

In the past, the concept of self-evolving botnets, where computing resources of infected hosts are exploited to discover vulnerabilities, have been introduced in the literature. This paper proposes a deterministic epidemic model that represents the infection dynamics of self-evolving botnets. The proposed epidemic model represents the infection dynamics of the self-evolving botnet with ordinary differential equations based on a Susceptible-Infected-Recovered-Susceptible model, which is widely used for general epidemic models of malware infection. Through numerical calculations, we show the infection behavior of self-evolving botnets.