通信学报 ›› 2016, Vol. 37 ›› Issue (5): 51-61.doi: 11959/j.issn.1000-436x.2016092

• 学术论文 • 上一篇    下一篇

基于攻防信号博弈模型的防御策略选取方法

张恒巍,余定坤,韩继红,王晋东,李涛   

  1. 信息工程大学三院,河南 郑州450001
  • 出版日期:2016-05-25 发布日期:2016-06-01
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家重点基础研究发展计划(“973”计划)基金资助项目;河南省科技计划基金资助项目;河南省科技计划基金资助项目

Defense policies selection method based on attack-defense signaling game model

Heng-wei ZHANG,Ding-kun YU,Ji-hong HAN,Jin-dong WANG,Tao LI   

  1. The Third Institute,Information Engineering University,Zhengzhou 450001,China
  • Online:2016-05-25 Published:2016-06-01
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Key Basic Research Pro-gram of China(973 Program);Henan Science and Technology Research Project;Henan Science and Technology Research Project

摘要:

当前基于博弈理论的防御策略选取方法大多采用完全信息或静态博弈模型,为更加符合网络攻防实际,从动态对抗和有限信息的视角对攻防行为进行研究。构建攻防信号博弈模型,对策略量化计算方法进行改进,并提出精炼贝叶斯均衡求解算法。在博弈均衡分析的基础上,设计了最优防御策略选取算法。通过实验验证了模型和算法的有效性,并在分析实验数据的基础上总结了攻防信号博弈的一般性规律,能够指导不同类型防御者的决策。

关键词: 动态博弈, 不完全信息, 攻防信号博弈, 精炼贝叶斯均衡, 均衡分析, 策略选取

Abstract:

Currently defense policies selection based on game theory mostly applied either the complete information game model or the static game model.In order to be more in line with the reality of network attack and defense,at-tack-defense behavior was studied by dynamic rivalry and incomplete information.The attack-defense signaling game mode was built,the method to quantify policies was improved and an algorithm to obtain the perfect Bayesian equili-brium was proposed.On the basis of analyzing equilibrium,the algorithm for selecting the optimal defense policy was proposed.The simulation experiment demonstrates that the model and algorithms are feasible and effective.By the expe-rimental data,general rules on signaling attack-defense game are summarized,which can guide defenders of different types to make decisions.

Key words: dynamic game, incomplete information, attack-defense signaling game, perfect Bayesian equilibrium, equi-librium analysis, policy selection

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