A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

Building an efficient intrusion detection system based on feature selection and ensemble classifier

(2020) Yuyang Zhou et al.   Computer Networks

Security Analysis of a Space-Based Wireless Network

(2019) Daojing He et al.   IEEE NETWORK

Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

(2019) Xiaopeng Tan et al.   SENSORS

A novel approach to intrusion detection using SVM ensemble with feature augmentation

(2019) Jie Gu et al.   COMPUTERS & SECURITY

Data imbalance in classification: Experimental evaluation

(2019) Fadi Thabtah et al.   INFORMATION SCIENCES

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

(2018) Alberto Fernandez et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

An in-depth experimental study of anomaly detection using gradient boosted machine

(2017) Bayu Adhi Tama et al.   NEURAL COMPUTING & APPLICATIONS

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

A novel hybrid KPCA and SVM with GA model for intrusion detection

(2014) Fangjun Kuang et al.   APPLIED SOFT COMPUTING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING