An Optimal Decision-Making Method for Cyberspace Countermeasure Based on Game Theory

摘要

The traditional Decision-Making methods leverage the awareness from one side of operators and evaluate the state of environment and devices statically. However, as the correlations of cyberspace's actions become more and more complex and the cyberspace confrontation is always changing, it cannot meet practical requirements. To solve these problems, a tree-based search algorithm is put forward in the paper, which exploits the correlations between actions and scores all plausible courses of actions dynamically, and gives optimal tactics advice for both the defenders and attackers. Additionally, it can reduce the cost of resources for operators to decide their actions. Experimental results show the feasibility and effectiveness of our proposed Decision-Making method.