Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection

作者：

Highlights：

• In the study, a data set specific to SD-VANET architecture was obtained.

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

• Proposed model achieved 99.35% accuracy.

• A comprehensive experimental benchmark is performed.

摘要

•In the study, a data set specific to SD-VANET architecture was obtained.•A novel systematic approach based on DDoS data is introduced.•Proposed model achieved 99.35% accuracy.•A comprehensive experimental benchmark is performed.

论文关键词：SDN,DDoS attack,VANET,Machine learning,Feature selection,Bayesian optimization

论文评审过程：Received 2 December 2021, Revised 14 April 2022, Accepted 1 May 2022, Available online 13 May 2022, Version of Record 15 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117500