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Establishing an Optimal Network Defense System: A Monte Carlo Graph Search Method

机译:建立最佳网络防御系统:蒙特卡罗图形搜索方法

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Establishing a complete network defense system is one of the hot research directions in recent years. Some approaches are based on attack graphs and heuristic algorithms, and others involve game theory. However, some of these algorithms lack clear key parameters, some are much affected by the structure of the graph. In this paper, we propose an algorithm called Monte Carlo Graph Search algorithm (MCGS) based on Monte Carlo Tree Search algorithm, a classic algorithm of game theory. Compared with other methods, our method is generally superior on the cost of time and space and barely affected by the structure of a graph. In addition, the steps of ours are more concise and work well for a graph. We design a system model of multiple attackers and one defender and combine it with our algorithm. A weight vector is designed for each host to describe its key information. After a number of iterations, the algorithm comes to an end along with an established optimal defense system. Experiments show that the algorithm is efficient and able to solve more problems since it is not limited to the structure of graph.
机译:建立一个完整的网络防御系统是近年来热门研究方向之一。一些方法是基于攻击图和启发式算法,其他方法涉及博弈论。但是,这些算法中的一些缺乏明确的关键参数,有些人受到图形结构的影响很大。本文提出了一种基于蒙特卡罗树搜索算法的逻辑Carlo Graph搜索算法(MCGS)的算法,这是一种博弈论的经典算法。与其他方法相比,我们的方法通常优于时间和空间的成本,并且勉强受图形结构的影响。此外,我们的步骤更简洁,适用于图形。我们设计了多个攻击者和一个防御者的系统模型,并将其与我们的算法相结合。为每个主机设计权重向量以描述其关键信息。在许多迭代之后,该算法与既定的最优防御系统一起结束。实验表明,该算法有效且能够解决更多问题,因为它不限于图形的结构。

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