M-AdaBoost-A based ensemble system for network intrusion detection

作者：

Highlights：

• A novel ensemble system was developed for addressing class imbalance.

• The proposed system was applied to two distinct intrusion detection domains.

• Superior performance was achieved compared with standard techniques.

摘要

•A novel ensemble system was developed for addressing class imbalance.•The proposed system was applied to two distinct intrusion detection domains.•Superior performance was achieved compared with standard techniques.

论文关键词：Network intrusion detection,Machine learning,Class imbalance,Boosting,Particle swarm optimization,Ensemble learning

论文评审过程：Received 7 April 2020, Revised 7 August 2020, Accepted 7 August 2020, Available online 13 August 2020, Version of Record 10 October 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113864