Stochastic Modeling for Self-evolving Botnets in Infection Control Environments

摘要

The concept of self-evolving botnets, where computing resources of infected hosts are exploited to discover unknown vulnerabilities and the botnets evolve autonomously, has been introduced and their threats have been shown in the literature. In order to protect networks from the self-evolving botnets, this paper provides an epidemic model taking into account the infection routes in infection control environments to which countermeasures against the self-evolving botnets are applied. We show the behaviors of the epidemic model through simulation experiments.