An improved NSGA-III algorithm for feature selection used in intrusion detection

作者：

Highlights：

• A scheme for the many-objective problem is proposed for feature selection in IDS.

• An improved many-objective optimization algorithm (I-NSGA-III) is proposed.

• I-NSGA-III can alleviate the imbalance problem in feature selection.

摘要

•A scheme for the many-objective problem is proposed for feature selection in IDS.•An improved many-objective optimization algorithm (I-NSGA-III) is proposed.•I-NSGA-III can alleviate the imbalance problem in feature selection.

论文关键词：Feature selection,Many-objective optimization,Network anomaly detection,IDS

论文评审过程：Received 6 May 2016, Revised 18 October 2016, Accepted 31 October 2016, Available online 10 November 2016, Version of Record 14 December 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.10.030