Extreme minority class detection in imbalanced data for network intrusion

Supervised feature selection techniques in network intrusion detection: A critical review

(2021) M. Di Mauro et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

CSE-IDS: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems

(2021) Neha Gupta et al.   COMPUTERS & SECURITY

HNN: A Novel Model to Study the Intrusion Detection Based on Multi-Feature Correlation and Temporal-Spatial Analysis

(2021) Shengwei Lei et al.   IEEE Transactions on Network Science and Engineering

Deep learning methods in network intrusion detection: A survey and an objective comparison

(2020) Sunanda Gamage et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Experimental Review of Neural-Based Approaches for Network Intrusion Management

(2020) Mario Di Mauro et al.   IEEE Transactions on Network and Service Management

A novel architecture combined with optimal parameters for back propagation neural networks applied to anomaly network intrusion detection

(2018) Zouhair Chiba et al.   COMPUTERS & SECURITY