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

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Smart Computing and Communication - 7th International Conference, SmartCom 2022, Proceedings
编辑Meikang Qiu, Zhihui Lu, Cheng Zhang
出版商Springer Science and Business Media Deutschland GmbH
319-328
页数10
ISBN(印刷版)9783031281235
DOI
出版状态已出版 - 2023
活动7th International Conference on Smart Computing and Communication, SmartCom 2022 - New York, 美国
期限: 18 11月 202220 11月 2022

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13828 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议7th International Conference on Smart Computing and Communication, SmartCom 2022
国家/地区美国
New York
时期18/11/2220/11/22

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