With the continuous development of power system distribution network automation, network security issues are becoming more and more prominent, in which the collection and analysis of open source threat intelligence is a key link to ensure the safe and stable operation of power systems. With the development of artificial intelligence technology, the application of artificial intelligence generated content (AIGC) has brought significant changes to open source intelligence. The application of generative AI technology in power system open source threat intelligence was focused in this paper, and the implementation methods and challenges of automated collection, fusion and analysis of open source threat intelligence using generative AI technology were introduced, summarized and discussed.

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Generative Artificial Intelligence Techniques for Modelling Open Source Threat Intelligence Verticals

  • Cong Hou,
  • Yuyue Su,
  • Qi Tian,
  • Xinrui Hu,
  • Huibing Lei,
  • Haoxuan Ning,
  • Yu Xia

摘要

With the continuous development of power system distribution network automation, network security issues are becoming more and more prominent, in which the collection and analysis of open source threat intelligence is a key link to ensure the safe and stable operation of power systems. With the development of artificial intelligence technology, the application of artificial intelligence generated content (AIGC) has brought significant changes to open source intelligence. The application of generative AI technology in power system open source threat intelligence was focused in this paper, and the implementation methods and challenges of automated collection, fusion and analysis of open source threat intelligence using generative AI technology were introduced, summarized and discussed.