Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

(2021) Justin Engelmann et al.   EXPERT SYSTEMS WITH APPLICATIONS

Enhancing intrusion detection with feature selection and neural network

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

GAN augmentation to deal with imbalance in imaging-based intrusion detection

(2021) Giuseppina Andresini et al.   Future Generation Computer Systems-The International Journal of eScience

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

(2020) Sweta Bhattacharya et al.   Electronics

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

A network intrusion detection system based on convolutional neural network

(2020) Hui Wang et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Local Distribution-based Adaptive Minority Oversampling for Imbalanced Data Classification

(2020) Xinyue Wang et al.   NEUROCOMPUTING

IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks

(2020) Shuokang Huang et al.   Ad Hoc Networks

M-AdaBoost-A Based Ensemble System for Network Intrusion Detection

(2020) Ying Zhou et al.   EXPERT SYSTEMS WITH APPLICATIONS

I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems

(2020) Punam Bedi et al.   APPLIED INTELLIGENCE

Network intrusion detection using multi-architectural modular deep neural network

(2020) Ramin Atefinia et al.   JOURNAL OF SUPERCOMPUTING

On the class overlap problem in imbalanced data classification

(2020) Pattaramon Vuttipittayamongkol et al.   KNOWLEDGE-BASED SYSTEMS

EHSO: Evolutionary Hybrid Sampling in overlapping scenarios for imbalanced learning

(2020) Yuanwei Zhu et al.   NEUROCOMPUTING

JDGAN: Enhancing generator on extremely limited data via joint distribution

(2020) Wei Li et al.   NEUROCOMPUTING

Tackling mode collapse in multi-generator GANs with orthogonal vectors

(2020) Wei Li et al.   PATTERN RECOGNITION

On oversampling imbalanced data with deep conditional generative models

(2020) Val Andrei Fajardo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Variational LSTM Enhanced Anomaly Detection for Industrial Big Data

(2020) Xiaokang Zhou et al.   IEEE Transactions on Industrial Informatics

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

(2019) Xiaopeng Tan et al.   SENSORS

Unsupervised learning approach for network intrusion detection system using autoencoders

(2019) Hyunseung Choi et al.   JOURNAL OF SUPERCOMPUTING

Generative adversarial fusion network for class imbalance credit scoring

(2019) Kai Lei et al.   NEURAL COMPUTING & APPLICATIONS

His-GAN: A histogram-based GAN model to improve data generation quality

(2019) Wei Li et al.   NEURAL NETWORKS

Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic

(2019) Wisam Elmasry et al.   Computer Networks

An Industrial Network Intrusion Detection Algorithm Based on Multifeature Data Clustering Optimization Model

(2019) Wei Liang et al.   IEEE Transactions on Industrial Informatics

Network intrusion detection system based on recursive feature addition and bigram technique

(2018) Tarfa Hamed et al.   COMPUTERS & SECURITY

Dendron : Genetic trees driven rule induction for network intrusion detection systems

(2018) Dimitrios Papamartzivanos et al.   Future Generation Computer Systems-The International Journal of eScience

Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines

(2018) Setareh Roshan et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Evolutionary Cost-Sensitive Extreme Learning Machine

(2017) Lei Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Types of minority class examples and their influence on learning classifiers from imbalanced data

(2015) Krystyna Napierala et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS