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SCADA Anomaly Detection Scheme Based on OCSVM-PSO

  • Published:2024-06-21 Issue: Volume:43 Page:1335-1340
  • ISSN:
  • Container-title:2024 6th International Conference on Energy Systems and Electrical Power (ICESEP)
  • language:
  • Short-container-title:

Author:

Le Xiang1,Yin Junjie2,Zhou Xiaoming3,Chu Bing2,Hu Bo4,Wang Lei3,Li Guangao3

Affiliation:

1. Ningbo HollySys Information Security Research Institute Co., Ltd, Beijing University of Technology,Faculty of Information Technology,Beijing,China

2. Ningbo HollySys Information Security Research Institute Co., Ltd.,Beijing,China

3. State Grid Liaoning Electric Power Supply Co., Ltd.,Shenyang,China

4. State Grid Dalian Electric Power Supply Company,Dalian,China

Funder

National Key R&D Program of China

Publisher

IEEE

Reference18 articles.

1. China Electric Power Union releases “2023–2024 National Electricity Supply and Demand Situation Analysis Forecast Report” [J];China Electric Power Enterprise Management,2024

2. Research on Anomaly Detection and Classification of Power System [D];Run;University of Electronic Science and Technology of China,2020

3. Architecture model proposal of innovative intelligent manufacturing in the chemical industry based on multi-scale integration and key technologies

4. Research framework of intelligent terminal information security protection technology for power systems [J];Tao;Automation of Electric Power Systems,2019

5. Intrusion detection for smart grid, the key technology research [D];Xinya;Nanjing university of posts and telecommunications,2021
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