一种禁忌随机博弈的网络防御策略  

A NETWORK DEFENSE STRATEGY BASED ON TABOO RANDOM GAME

作　　者：李国强 崔鸣石 孙晓达 张勇生 Li Guoqiang;Cui Mingshi;Sun Xiaoda;Zhang Yongsheng(Information and Communication Branch,State Grid Inner Mongolia Eastern Electric Power Co.,Ltd.,Hohhot 010010,Inner Mongolia,China)

机构地区：[1]国网内蒙古东部电力有限公司信息通信分公司,内蒙古呼和浩特010010

出　　处：《计算机应用与软件》2025年第1期345-351,382,共8页Computer Applications and Software

基　　金：国家电网基金项目(526603200022)。

摘　　要：针对当前网络防御策略研究中存在的因法律惩戒、信息不对称等因素导致的模型偏差问题,提出一种基于禁忌随机博弈的网络防御策略。通过将攻防过程进行离散化处理,构建禁忌随机博弈模型。使用具有记忆功能的禁忌搜索方法进行有限理性的随机博弈分析,并通过禁忌表数据结构实现记忆功能。结合博弈模型和数据驱动记忆,获得最佳网络攻击防御策略,使用仿真实验的方法来对该网络防御策略的有效性进行验证。实验结果表明,该网络防御策略的网络攻防收益量化精准度得到了有效的提高,与当前已有的网络防御策略相比,该方法的空间复杂度较低,并实现了算法的快速收敛,减少了算法的计算资源消耗,提高了网络防御收益的准确性。Aimed at the problem of model deviation caused by factors such as legal punishment and information asymmetry in the current research on network defense strategy,a network defense strategy based on taboo random game is proposed.By discretizing the offensive and defensive process,a taboo random game model was constructed.The tabu search method with memory function was used to conduct bounded rational random game analysis,and realized the memory function through the taboo table data structure.The game model and data-driven memory were combined to obtain the best network attack defense strategy,and the simulation experiment method was used to verify the effectiveness of the proposed network defense strategy.The experimental results show that the quantification accuracy of network offensive and defense benefits of the network defense strategy in this paper has been effectively improved.Compared with the current existing network defense strategies,the method proposed in this paper has lower space complexity and achieves rapid convergence of the algorithm,which reduces the computational resource consumption of the algorithm and improves the accuracy of network defense revenue.

关 键 词：网络防御 随机博弈 禁忌搜索 最优策略 禁忌表 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]