摘要
针对电力网络中如何有效识别边界资产(已知资产和未知资产)并进行资产画像,如何对已知资产涉及的空间要素进行分类展示,如何对未知资产可信值进行计算,网络空间和现实空间的地图如何映射等问题,提出以电力关键业务网络和重要目标网络为主要探测对象,实时地掌握网络的重要对象、节点属性、存活状态、基础服务、拓扑结构等深度信息,结合未知资产的可信度,实现电力行业网络空间资产的数据分析展示,及构建电力网络的网络空间地图的目的。
Aiming at the problems that how to effectively identify the border assets in electricity network(known assets and unknown assets)and carry out asset portraits,how to classify and display the space elements involved in known assets,how to calculate the reliability of unknown assets,and how to map the network space and the real space map,this paper proposes to take the power key business network and important target network as the main detection objects,and grasp the network status in real time,such as important objects,node attributes,survival status,basic services,topology structure and other in-depth information.Combined with the credibility of unknown assets,the purpose of data analysis and display of cyberspace assets in the power industry,and the construction of cyberspace map of the power network is realized.
作者
许勇刚
王利斌
杨阳
胡宇宣
尹琴
Xu Yonggang;Wang Libin;Yang Yang;Hu Yuxuan;Yin Qin(State Grid Cyber Security Technology(Beijing)Co.,Ltd.,Beijing 102209,China)
出处
《网络安全与数据治理》
2022年第8期49-54,共6页
CYBER SECURITY AND DATA GOVERNANCE
基金
国家重点研发计划(2020YFB1806502)。
关键词
电力
资产
网空地图
网络安全
electric power
assets
cyberspace map
network security
