Reinforcement Learning in Cyber Wargaming Defense

Abstract

In recent decades the necessity for cyber security has grown for both private companies as well as government agencies. This growth is the result of increasing ability for organizations to mount cyber-attacks. As a response, organizations have been developing cyber defense artificial intelligence (AI), which greatly improves cyber-security capabilities. This ne- cessitates not only the development of cyber-attack, defense, and vulnerability frameworks to simulate a realistic environment, but also methods with which to train the AI. Further, the number and variety of networks necessitates a framework with which AI can be quickly and cost-effectively trained. This paper will explore how our team has worked to develop an efficient and comprehensive framework under which a variety of AI can be trained to fulfill the need for cyber resiliency.