Mesa-Based Simulator of Botnet Defense System and Impact Evaluation of Botnet Infection Rates

Abstract

This paper proposes a new Mesa-based simulator for the Botnet Defense System (BDS). The BDS is a system that uses white-hat botnets to exterminate malicious botnets. Its effectiveness is expected to be affected by white-hat botnet characteristics such as primary and secondary infection rates, and lifespan. In conventional Petri net-based simulators, only some characteristics have been modeled to avoid modeling complexity. The proposed new simulator was developed using the Python-based modeling framework, Mesa, which allows for more faithful and efficient modeling of white-hat botnets using the Python ecosystem. The evaluation with the simulator showed quantitatively that the effectiveness of BDS depends on the characteristics of the white-hat botnet and the relationship between these characteristics.