摘要
为提升攻防对抗中网络平台的信号识别能力和防御效果,文章提出多阶段平台动态防御的信号博弈模型和迁移策略。首先,从平台动态防御原理入手,分析平台动态防御的拓扑结构和博弈流程,构建了多阶段平台动态防御的信号博弈模型,并给出攻防收益参数定义,引入了探测度和检测因子,分析攻防双方获得的信息对下一阶段博弈的影响。其次,按照信号博弈流程,求解了多阶段均衡策略的精炼贝叶斯均衡,提出了多阶段平台动态防御最优迁移策略选取算法。最后,通过示例和仿真验证了所提模型和策略的有效性。
In order to improve the signal recognition ability and defense effect of network platform in attack defense confrontation,the signal game model and migration strategy of multi-stage platform dynamic defense are proposed.Firstly,starting from the principle of platform dynamic defense,this paper analyzes the topology structure and game flow of platform dynamic defense,constructs the signal game model of multi-stage platform dynamic defense,gives the definition of attack and defense revenue parameters,introduces detection and detection factors,and analyzes the impact of information obtained by both sides on the next stage of the game.Secondly,according to the signal game process,the refined Bayesian equilibrium solution method of multi-stage equilibrium strategy is demonstrated,and then the optimal migration strategy selection algorithm of multi-stage platform dynamic defense is proposed.Finally,the effectiveness of the proposed model and strategy is verified by examples and simulations.
作者
王刚
王志屹
张恩宁
马润年
WANG Gang;WANG Zhiyi;ZHANG Enning;MA Runnian(Institute of Navigation and Communication,Air Force Engineering University,Xi’an,710077,China)
出处
《信息网络安全》
CSCD
北大核心
2021年第5期48-57,共10页
Netinfo Security
基金
国家自然科学基金[61703420]。
关键词
平台动态防御
信号博弈
多阶段
迁移策略
platform dynamic defense
signal game
multi-stage
migration strategy
