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

Yue Zhang, Keke Gai, Liehuang Zhu, Meikang Qiu

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.