Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system

A novel combinatorial optimization based feature selection method for network intrusion detection

(2021) Anjum Nazir et al.   COMPUTERS & SECURITY

Enhancing intrusion detection with feature selection and neural network

(2021) Chunhui Wu et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Industrial Intrusion Detection Based on the Behavior of Rotating Machine

(2021) Mohammad Safari et al.   International Journal of Critical Infrastructure Protection

A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms

(2020) Omar Almomani   Symmetry-Basel

A review of improved extreme learning machine methods for data stream classification

(2019) Li Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

(2019) Jorge Meira et al.   Journal of Ambient Intelligence and Humanized Computing

Feature selection in machine learning: A new perspective

(2018) Jie Cai et al.   NEUROCOMPUTING

Efficient Techniques for Attack Detection Using Different Features Selection Algorithms and Classifiers

(2018) Rania A. Ghazy et al.   WIRELESS PERSONAL COMMUNICATIONS

An Improved Intrusion Detection Algorithm Based on GA and SVM

(2018) Peiying Tao et al.   IEEE Access

An intrusion detection system using network traffic profiling and online sequential extreme learning machine

(2015) Raman Singh et al.   EXPERT SYSTEMS WITH APPLICATIONS

AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine

(2015) Hualong Yu et al.   NEUROCOMPUTING