A feature reduced intrusion detection system using ANN classifier

作者：

Highlights：

• A Feature reduced Intrusion Detection System has been proposed.

• Pre-processing is done to compensate less occurring and frequent occurring attacks.

• Feature reduction has been done on basis of information gain and correlation.

• A classifier based on artificial neural network has been used.

• Comparison with state of art methods has been done.

摘要

•A Feature reduced Intrusion Detection System has been proposed.•Pre-processing is done to compensate less occurring and frequent occurring attacks.•Feature reduction has been done on basis of information gain and correlation.•A classifier based on artificial neural network has been used.•Comparison with state of art methods has been done.

论文关键词：Intrusion Detection System (IDS),Feature Ranking,Feature Reduction,ANN

论文评审过程：Received 2 August 2016, Revised 28 June 2017, Accepted 6 July 2017, Available online 8 July 2017, Version of Record 13 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.005