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Hybrid Intrusion Detection System Supporting Dynamic Expansion

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Advances in Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1588))

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Abstract

Aiming at the problem of unknown security threats facing smart grids, Hybrid intrusion detection system supporting dynamic expansion is proposed. In the network context, network attack behaviors are detected based on network speed, protocol handshake, quintuple and other dimensions, and security response strategy deployment is automatically generated. Go to the firewall to execute. A formal method is used to analyze the Hybrid intrusion detection system supporting dynamic expansion, which verifies the feasibility of supporting the Hybrid intrusion detection system supporting dynamic expansion.

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Author information

Authors and Affiliations

  1. Shenzhen Power Supply Co. Ltd., Shenzhen, 518001, China

    Honghao Liang, Tao Liu, Sijian Li & Shaocheng Wu

  2. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Fanyao Meng & Bo Lu

  3. Peng Cheng Laboratory, Shenzhen, 518055, China

    Man Zhang

  4. Cyberspace Institute of Advanced Technology Guangzhou University, Guangzhou, 510006, China

    Muhammad Shafiq

Authors
  1. Honghao Liang
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  2. Tao Liu
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  3. Fanyao Meng
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  4. Sijian Li
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  5. Shaocheng Wu
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  6. Bo Lu
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  7. Man Zhang
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  8. Muhammad Shafiq
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Corresponding author

Correspondence to Fanyao Meng .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Liang, H. et al. (2022). Hybrid Intrusion Detection System Supporting Dynamic Expansion. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1588. Springer, Cham. https://doi.org/10.1007/978-3-031-06764-8_54

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  • DOI: https://doi.org/10.1007/978-3-031-06764-8_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06763-1

  • Online ISBN: 978-3-031-06764-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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