A DDoS attack detection method based on deep learning two-level model CNN-LSTM in SDN network
Mengxue Li, Binxin Zhang, Guangchang Wang, Bin Zhuge, Xian Jiang, Ligang Dong · 2022
This paper mainly explores the detection and defense of DDoS attacks in the SDN architecture of the 5G environment, and proposes a DDoS attack detection method based on the deep learning two-level model CNN-LSTM in the SDN network. Not only can it greatly improve the accuracy of attack detection, but it can also reduce the time for classifying and detecting network traffic, so that the transmission of DDoS attack traffic can be blocked in time to ensure the availability of network services.