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

Yue Zhang; Keke Gai; Liehuang Zhu; Meikang Qiu

doi:10.1007/978-3-031-28124-2_30

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

Yue Zhang, Keke Gai^*, Liehuang Zhu, Meikang Qiu

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings
Editors	Meikang Qiu, Zhihui Lu, Cheng Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	319-328
Number of pages	10
ISBN (Print)	9783031281235
DOIs	https://doi.org/10.1007/978-3-031-28124-2_30
Publication status	Published - 2023
Event	7th International Conference on Smart Computing and Communication, SmartCom 2022 - New York, United States Duration: 18 Nov 2022 → 20 Nov 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13828 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Smart Computing and Communication, SmartCom 2022
Country/Territory	United States
City	New York
Period	18/11/22 → 20/11/22

Keywords

Artificial intelligence
Auxiliary classifier generative adversarial networks
Blockchain
Distributed denial of service
Security
Software defined industrial networks

Access to Document

10.1007/978-3-031-28124-2_30

Cite this

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 M. Qiu, Z. Lu, & C. Zhang (Eds.), Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings (pp. 319-328). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13828 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28124-2_30

Zhang, Yue ; Gai, Keke ; Zhu, Liehuang et al. / An Auxiliary Classifier GAN-Based DDoS Defense Solution in Blockchain-Based Software Defined Industrial Network. Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings. editor / Meikang Qiu ; Zhihui Lu ; Cheng Zhang. Springer Science and Business Media Deutschland GmbH, 2023. pp. 319-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An Auxiliary Classifier GAN-Based DDoS Defense Solution in Blockchain-Based Software Defined Industrial Network",

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.",

keywords = "Artificial intelligence, Auxiliary classifier generative adversarial networks, Blockchain, Distributed denial of service, Security, Software defined industrial networks",

author = "Yue Zhang and Keke Gai and Liehuang Zhu and Meikang Qiu",

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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 M Qiu, Z Lu & C Zhang (eds), Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13828 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 319-328, 7th International Conference on Smart Computing and Communication, SmartCom 2022, New York, United States, 18/11/22. https://doi.org/10.1007/978-3-031-28124-2_30

An Auxiliary Classifier GAN-Based DDoS Defense Solution in Blockchain-Based Software Defined Industrial Network. / Zhang, Yue; Gai, Keke ; Zhu, Liehuang et al.
Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings. ed. / Meikang Qiu; Zhihui Lu; Cheng Zhang. Springer Science and Business Media Deutschland GmbH, 2023. p. 319-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13828 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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Zhang Y, Gai K , Zhu L, Qiu M. An Auxiliary Classifier GAN-Based DDoS Defense Solution in Blockchain-Based Software Defined Industrial Network. In Qiu M, Lu Z, Zhang C, editors, Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 319-328. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-28124-2_30