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Research progress of intrusion detection methods in SDN
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Rui LIU1, Haifeng WANG1, *, Chengwei ZHENG1, Wenhong WU1, Hengmao NIU2
Science & Technology Review | 2025, 43(10) : 76 - 93
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Science & Technology Review | 2025, 43(10): 76-93
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Research progress of intrusion detection methods in SDN
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Rui LIU1, Haifeng WANG1, *, Chengwei ZHENG1, Wenhong WU1, Hengmao NIU2
Affiliations
  • 1. College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China
  • 2. Inner Mongolia Vocational and Technical College of Architecture, School of Architectural Engineering and Surveying and Mapping, Hohhot 010020, China
Published: 2025-05-28 doi: 10.3981/j.issn.1000-7857.2024.05.00570
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Intrusion detection, as a key security protection method of software defined networks (SDN) architecture, can effectively ensure the secure and stable operation of SDN. By summarizing intrusion detection methods based on machine learning, deep learning, reinforcement learning and information entropy, this paper summarizes and analyzes the existing problems in SDN environment and points out future research directions, providing reference ideas for relevant researchers.

software-defined network  /  intrusion detection  /  machine learning  /  deep learning  /  reinforcement learning  /  information entropy
Rui LIU, Haifeng WANG, Chengwei ZHENG, Wenhong WU, Hengmao NIU. Research progress of intrusion detection methods in SDN[J]. Science & Technology Review, 2025 , 43 (10) : 76 -93 . DOI: 10.3981/j.issn.1000-7857.2024.05.00570
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Year 2025 volume 43 Issue 10
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Article Info
doi: 10.3981/j.issn.1000-7857.2024.05.00570
  • Receive Date：2024-05-27
  • Online Date：2025-12-01
  • Published：2025-05-28
Article Data
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History
  • Received：2024-05-27
  • Revised：2024-09-26
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Affiliations
    1. College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China
    2. Inner Mongolia Vocational and Technical College of Architecture, School of Architectural Engineering and Surveying and Mapping, Hohhot 010020, China
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