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

Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems

(2021) Nuno Oliveira et al.   Applied Sciences-Basel

HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System

(2021) Muhammad Ashfaq Khan   Processes

LIO-IDS: Handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system

(2021) Neha Gupta et al.   Computer Networks

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

(2021) Jingmei Liu et al.   COMPUTERS & SECURITY

STL-HDL: A new hybrid network intrusion detection system for imbalanced dataset on big data environment

(2021) Samed Al et al.   COMPUTERS & SECURITY

Efficient treatment of outliers and class imbalance for diabetes prediction

(2020) Nonso Nnamoko et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

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

(2020) Punam Bedi et al.   APPLIED INTELLIGENCE

RNNIDS: Enhancing network intrusion detection systems through deep learning

(2020) Soroush M. Sohi et al.   COMPUTERS & SECURITY

Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms

(2020) Jihoon Shin et al.   Ecological Informatics

An effective intrusion detection approach using SVM with naïve Bayes feature embedding

(2020) Jie Gu et al.   COMPUTERS & SECURITY

Cost-sensitive support vector machines

(2019) Arya Iranmehr et al.   NEUROCOMPUTING

Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms

(2019) Zouhair Chiba et al.   COMPUTERS & SECURITY

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access