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Data Security Knowledge Graph for Active Distribution Network

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Artificial Intelligence and Robotics (ISAIR 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1700))

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Abstract

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.

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Acknowledgment

This work was supported by the State Grid Shanghai Municipal Electric Power Company Technology Projects (B30935210005).

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Authors and Affiliations

  1. College of Automation, Nan**g University of Posts Telecommunications, Nan**g, 210003, China

    Qianliang Li & Jie Zhang

  2. State Grid Shanghai Municipal Electric Power Company, Shanghai, 200122, China

    Renjie Dai & Siming Wei

  3. Institute of Advanced Technology, Nan**g University of Posts Telecommunications, Nan**g, 210003, China

    Song Deng

Authors
  1. Qianliang Li
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  2. Renjie Dai
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  3. Siming Wei
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  4. Jie Zhang
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  5. Song Deng
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Corresponding author

Correspondence to Song Deng .

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Editors and Affiliations

  1. Kyushu Institute of Technology, Kitakyushu, Japan

    Shuo Yang

  2. Kyushu Institute of Technology, Kitakyushu, Japan

    Huimin Lu

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Li, Q., Dai, R., Wei, S., Zhang, J., Deng, S. (2022). Data Security Knowledge Graph for Active Distribution Network. In: Yang, S., Lu, H. (eds) Artificial Intelligence and Robotics. ISAIR 2022. Communications in Computer and Information Science, vol 1700. Springer, Singapore. https://doi.org/10.1007/978-981-19-7946-0_17

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  • DOI: https://doi.org/10.1007/978-981-19-7946-0_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-7945-3

  • Online ISBN: 978-981-19-7946-0

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