Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks

In the literature of modern network security research, deriving effective and efficient course-of-action (COA) attack search methods are of interests in industry and academia. As the network size grows, the traditional COA attack search methods can suffer from the limitations to computing and communication resources. Therefore, various methods have been developed to solve these problems, and reinforcement learning (RL)-based intelligent algorithms are one of the most effective solutions. Therefore, we review the RL-based COA attack search methods for network attack scenarios in terms of the trends and their contributions.