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作 者:王菁[1] 周光霞[1] 王珩[1] WANG Jing;ZHOU Guangxia;WANG Heng(Science and Technology on In{ormation System Engineering Laboratory, Nanjing 210007, China)
出 处:《指挥信息系统与技术》2018年第2期49-54,共6页Command Information System and Technology
基 金:中国电子科技集团公司主导创新资助项目
摘 要:网络空间侦察分析中,异构网关联可挖掘有线网、无线电台网络、微波通信网络及传感器网等异构孤立网络的信息流向,从而形成多重拓扑关联关系。构建了网络空间异构网络3级关联模型,从网络空间目标属性特征分类、网络空间目标工作与通信状态时序数据挖掘及不同类别边界节点关联性验证3个层面进行了信息关联。仿真试验表明,该模型可实现网络空间侦察信息流的识别,有效辅助了网络空间作战指挥决策,为作战部署提供依据。In the cyber space reconnaissance analysis, information flow of the wired network, ra dio network, microware communication network and sensor network are mined by the heteroge neous network correlation, thus forming the multiple topological associations. A three level cot relation model for the cyber space heterogeneous networks is established. The three levels of in formation, such as the attribute classification, the time series mining of working state and boundary node correlation validation, are associated. The simulation test shows that the model can realize the recognition of the cyber space reconnaissance information flow, it effectively assis ting the cyber space combat command decision. Thus, it can provide a basis for the operational deployment.
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