Detection of DDoS attacks with feed forward based deep neural network model

作者：

Highlights：

• Small samples from DDoS data set are used to obtain fast and effective results.

• Model with feature extraction and classification is chosen to better accuracy.

• DDoS attacks in network are detected and classified using deep neural network.

• Performance of proposed models is evaluated on current DDoS attacks dataset.

摘要

•Small samples from DDoS data set are used to obtain fast and effective results.•Model with feature extraction and classification is chosen to better accuracy.•DDoS attacks in network are detected and classified using deep neural network.•Performance of proposed models is evaluated on current DDoS attacks dataset.

论文关键词：DDoS attack,DNN model,Deep learning,Network traffic

论文评审过程：Received 14 April 2020, Revised 11 November 2020, Accepted 18 December 2020, Available online 24 December 2020, Version of Record 2 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114520