论文标题
计算机网络中有关行动课程（COA）攻击搜索方法的教程
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks
论文作者
论文摘要
在现代网络安全研究的文献中，得出有效，有效的行动课程（COA）附加搜索方法是行业和学术界感兴趣的。随着网络大小的增长，传统的COA攻击搜索方法可能会受到计算和通信资源的局限性。因此，已经开发了解决这些问题的各种方法，并且加强学习（RL）的智能算法是最有效的解决方案之一。因此，我们从趋势及其贡献中回顾了基于RL的COA攻击搜索方法，用于网络攻击方案
In the literature of modern network security research, deriving effective and efficient course-of-action (COA) attach 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 contrib
