An IWD-based feature selection method for intrusion detection system

A hybrid method consisting of GA and SVM for intrusion detection system

(2015) B. M. Aslahi-Shahri et al.   NEURAL COMPUTING & APPLICATIONS

Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming

(2015) Muhammad Syafiq Mohd Pozi et al.   NEURAL PROCESSING LETTERS

Analysis of network traffic features for anomaly detection

(2014) Félix Iglesias et al.   MACHINE LEARNING

A novel SVM by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection

(2014) Fangjun Kuang et al.   SOFT COMPUTING

A distance sum-based hybrid method for intrusion detection

(2013) Chun Guo et al.   APPLIED INTELLIGENCE

Intrusion detection by machine learning: A review

(2009) Chih-Fong Tsai et al.   EXPERT SYSTEMS WITH APPLICATIONS

Impact of Feature Reduction on the Efficiency of Wireless Intrusion Detection Systems

(2009) Khalil El-Khatib   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS