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An Auxiliary Classifier GAN-Based DDoS Defense Solution in Blockchain-Based Software Defined Industrial Network

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Smart Computing and Communication (SmartCom 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13828))

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Abstract

As an emerging technology, Software-Defined Industrial Networks (SDIN) appears to be a vital technical approach for powering up new manufacturing modes due to its higher-level scalability and controllability. However, a few threats are still restricting the implementation of SDIN and Distributed Denial of Service (DDoS) is one of the common attacks. In this paper, we focus on the DDoS issue in SDIN, and propose a blockchain-empower SDIN scheme and an Auxiliary Classifier Generative Adversarial Networks (AC-GAN)-based DDoS attack detection model. Our experiment evaluations have demonstrated the effectiveness and performance of our proposed approach.

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Notes

  1. 1.

    Adversarial attacks refer to that the attacker deliberately adds certain imperceptible interference to input samples, causing the misjudgment of the prediction model.

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Acknowledgements

This work is partially supported by the National Key Research and Development Program of China (Grant No. 2021YFB2701300), Shandong Provincial Key Research and Development Program (Grant No. 2021CXGC010106).

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Authors and Affiliations

  1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Yue Zhang

  2. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Keke Gai & Liehuang Zhu

  3. Beacom College of Computer and Cyber Sciences, Dakota State University, Madison, SD, 57042, USA

    Meikang Qiu

Authors
  1. Yue Zhang
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  2. Keke Gai
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  3. Liehuang Zhu
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  4. Meikang Qiu
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Corresponding author

Correspondence to Keke Gai .

Editor information

Editors and Affiliations

  1. Dakota State University, Madison, SD, USA

    Meikang Qiu

  2. Fudan University, Shanghai, China

    Zhihui Lu

  3. Ibaraki University, Ibaraki, Japan

    Cheng Zhang

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Zhang, Y., Gai, K., Zhu, L., Qiu, M. (2023). An Auxiliary Classifier GAN-Based DDoS Defense Solution in Blockchain-Based Software Defined Industrial Network. In: Qiu, M., Lu, Z., Zhang, C. (eds) Smart Computing and Communication. SmartCom 2022. Lecture Notes in Computer Science, vol 13828. Springer, Cham. https://doi.org/10.1007/978-3-031-28124-2_30

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  • DOI: https://doi.org/10.1007/978-3-031-28124-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28123-5

  • Online ISBN: 978-3-031-28124-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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