基于动态贝叶斯网络的复杂网络抗毁性分析

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。

Complex Network Invulnerability Based on Dynamic Bayesian Network

Complex network invulnerability is the ability to maintain the basic function of the complex network in case of node or edge attack, and it's the important factor to measure the robustness and agility of information network in military area. In view of the complex network performance and the multi index, the complexity and the dynamic deductive characteristic to the support ability of the combat system, a innovation method of Dynamic Bayesian Network (DBN) invulnerability are proposed,compared with the method of static analysis. In detail,the complex network invulnerability index system is first established,and the model is presented based on DBN,as well as method to determine the parameters of the evaluation model. Finally,simulation results show that the method is available and effective.