基于动态贝叶斯网络的复杂网络抗毁性分析
发布时间：2018-11-16 07:00
【摘要】：复杂网络抗毁性是复杂网络在节点或边遇敌攻击后能继续维持基本功能的能力,是衡量军事信息网络鲁棒性和敏捷性的重要指标。针对复杂网络及对作战体系支撑能力的多指标、复杂化和动态演绎特点,在静态分析方法基础上,提出基于动态贝叶斯网络的抗毁性分析方法。建立了复杂网络抗毁性指标体系。构建了基于动态贝叶斯网络的复杂网络抗毁性评估模型,提出确定评估模型参数的方法。仿真验证了方法的可行性和有效性。
[Abstract]:Complex network invulnerability is the ability of complex network to maintain its basic function after a node or edge is attacked by an enemy. It is an important index to measure the robustness and agility of military information network. In view of the characteristics of complex network and its support ability to combat system, complexity and dynamic deduction, based on static analysis method, a dynamic Bayesian network based invulnerability analysis method is proposed. The invulnerability index system of complex network is established. Based on dynamic Bayesian network, the invulnerability evaluation model of complex network is constructed, and the method of determining the parameters of evaluation model is proposed. Simulation results show that the method is feasible and effective.
【作者单位】： 空军工程大学信息与导航学院;空军工程大学防空反导学院;
【基金】：国家自然科学基金(61573017) 国家社科基金资助项目(15BGJ007)
【分类号】：O157.5
，
本文编号：2334793
[Abstract]:Complex network invulnerability is the ability of complex network to maintain its basic function after a node or edge is attacked by an enemy. It is an important index to measure the robustness and agility of military information network. In view of the characteristics of complex network and its support ability to combat system, complexity and dynamic deduction, based on static analysis method, a dynamic Bayesian network based invulnerability analysis method is proposed. The invulnerability index system of complex network is established. Based on dynamic Bayesian network, the invulnerability evaluation model of complex network is constructed, and the method of determining the parameters of evaluation model is proposed. Simulation results show that the method is feasible and effective.
【作者单位】： 空军工程大学信息与导航学院;空军工程大学防空反导学院;
【基金】：国家自然科学基金(61573017) 国家社科基金资助项目(15BGJ007)
【分类号】：O157.5
，
本文编号：2334793
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