A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks

作者：

Highlights：

• In the study, a data set specific to SDN-based SCADA architecture was obtained.

• A novel systematic approach based on DDoS data is introduced.

• Proposed model achieved 97.62% accuracy.

• A comprehensive experimental benchmark is performed.

摘要

•In the study, a data set specific to SDN-based SCADA architecture was obtained.•A novel systematic approach based on DDoS data is introduced.•Proposed model achieved 97.62% accuracy.•A comprehensive experimental benchmark is performed.

论文关键词：SDN,DDoS attack,SCADA,Critical infrastructures,LSTM,GRU

论文评审过程：Received 24 June 2021, Revised 29 October 2021, Accepted 23 February 2022, Available online 2 March 2022, Version of Record 7 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116748