Data Security Knowledge Graph for Active Distribution Network

被引:1
|
作者
Li, Qianliang [1 ]
Dai, Renjie [2 ]
Wei, Siming [2 ]
Zhang, Jie [1 ]
Deng, Song [3 ]
机构
[1] Nanjing Univ Posts Telecommun, Coll Automat, Nanjing 210003, Peoples R China
[2] State Grid Shanghai Municipal Elect Power Co, Shanghai 200122, Peoples R China
[3] Nanjing Univ Posts Telecommun, Inst Adv Technol, Nanjing 210003, Peoples R China
来源
ARTIFICIAL INTELLIGENCE AND ROBOTICS, ISAIR 2022, PT I | 2022年 / 1700卷
关键词
Active distribution network; Data security; Knowledge graph named entity recognition; Entity relation extraction; CYBER-SECURITY; INTERNET; ALGORITHM;
D O I
10.1007/978-981-19-7946-0_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The openness, interconnection and sharing mechanism of the active distribution network bring great security risks to business system data. The existing data security protection strategies for the active distribution network are basically based on encryption, access control, and blockchain technology, which cannot enable the active distribution network operation and maintenance and management personnel to intuitively understand the data security situation affecting the active distribution network from a global perspective. Therefore, this paper combines the concept of knowledge graph to explore the key technologies of data security knowledge graphs for the active distribution network. First, the key technologies for constructing knowledge graph are explained in detail from named entity recognition, entity relation extraction and entity alignment. And then, with the active distribution network data as the object, the process of constructing data security knowledge graph for active distribution network is explained. Finally, the challenge of constructing a data security knowledge map for active distribution network is given.
引用
收藏
页码:193 / 204
页数:12
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