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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches

https://doi.org/10.3390/computers14010004

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.4434openalex-snapshot

A wrapper‐based feature selection for improving performance of intrusion detection systems

inferredcites →https://doi.org/10.1002/ett.4150openalex-snapshot

Network intrusion detection system: A systematic study of machine learning and deep learning approaches

inferredcites →https://doi.org/10.1007/978-981-15-8767-2_2openalex-snapshot

ABC-BSRF: Artificial Bee Colony and Borderline-SMOTE RF Algorithm for Intrusion Detection System on Data Imbalanced Problem

inferredcites →https://doi.org/10.1007/978-981-19-8086-2_50openalex-snapshot

Intrusion Detection System Using Ensemble Machine Learning for Digital Infrastructure

inferredcites →https://doi.org/10.1007/978-981-99-2100-3_23openalex-snapshot

A Machine Learning-Based Vulnerability Detection Approach for the Imbalanced Dataset UNSW-NB15

inferredcites →https://doi.org/10.1007/s00607-020-00854-1openalex-snapshot

Combined oversampling and undersampling method based on slow-start algorithm for imbalanced network traffic

inferredcites →https://doi.org/10.1007/s10207-022-00634-2openalex-snapshot

Deep SARSA-based reinforcement learning approach for anomaly network intrusion detection system

inferredcites →https://doi.org/10.1007/s10207-023-00767-yopenalex-snapshot

Evaluating the impact of filter-based feature selection in intrusion detection systems

inferredcites →https://doi.org/10.1007/s11042-021-11747-6openalex-snapshot

Effective network intrusion detection by addressing class imbalance with deep neural networks multimedia tools and applications

inferredcites →https://doi.org/10.1007/s13369-022-06760-2openalex-snapshot

A Multi-level Correlation-Based Feature Selection for Intrusion Detection

inferredcites →https://doi.org/10.1007/s41870-024-02172-7openalex-snapshot

Detecting the undetectable: GAN-based strategies for network intrusion detection

inferredcites →https://doi.org/10.1016/j.comcom.2022.12.010openalex-snapshot

A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework

inferredcites →https://doi.org/10.1016/j.compeleceng.2023.108626openalex-snapshot

Anomaly based network intrusion detection for IoT attacks using deep learning technique

inferredcites →https://doi.org/10.1016/j.cose.2021.102448openalex-snapshot

An effective genetic algorithm-based feature selection method for intrusion detection systems

inferredcites →https://doi.org/10.1016/j.cose.2021.102499openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.cose.2023.103675openalex-snapshot

A feature selection based on genetic algorithm for intrusion detection of industrial control systems

inferredcites →https://doi.org/10.1016/j.inffus.2022.09.026openalex-snapshot

Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System

inferredcites →https://doi.org/10.1016/j.iot.2024.101212openalex-snapshot

SYN-GAN: A robust intrusion detection system using GAN-based synthetic data for IoT security

inferredcites →https://doi.org/10.1016/j.jer.2023.100122openalex-snapshot

Enhancing intrusion detection in IoT systems: A hybrid metaheuristics-deep learning approach with ensemble of recurrent neural networks

inferredcites →https://doi.org/10.1109/access.2019.2905633openalex-snapshot

A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System

inferredcites →https://doi.org/10.1109/access.2024.3386631openalex-snapshot

FL-IDS: Federated Learning-Based Intrusion Detection System Using Edge Devices for Transportation IoT

inferredcites →https://doi.org/10.1109/access.2024.3412933openalex-snapshot

Intrusion Detection System for In-Vehicle CAN-FD Bus ID Based on GAN Model

inferredcites →https://doi.org/10.1109/ibcast59916.2023.10713040openalex-snapshot

Improving Botnet Detection with a Generative Adversarial Network-Based Technique

inferredcites →https://doi.org/10.1109/icc51166.2024.10623031openalex-snapshot

A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning

inferredcites →https://doi.org/10.1145/3299815.3314439openalex-snapshot

Intrusion Detection Using Big Data and Deep Learning Techniques

inferredcites →https://doi.org/10.1145/3654823.3654824openalex-snapshot

An Adaptive Federated Learning Intrusion Detection System Based on Generative Adversarial Networks under the Internet of Things

inferredcites →https://doi.org/10.1155/2021/5557577openalex-snapshot

Improving the Performance of Machine Learning‐Based Network Intrusion Detection Systems on the UNSW‐NB15 Dataset

inferredcites →https://doi.org/10.1186/s40537-023-00694-8openalex-snapshot

IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset

inferredcites →https://doi.org/10.1186/s42400-021-00103-8openalex-snapshot

Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique

inferredcites →https://doi.org/10.1201/9781003006152-7openalex-snapshot

IoT Security Frameworks and Countermeasures

inferredcites →https://doi.org/10.24996/ijs.2023.64.9.43openalex-snapshot

Adapted CNN-SMOTE-BGMM Deep Learning Framework for Network Intrusion Detection using Unbalanced Dataset

inferredcites →https://doi.org/10.26599/tst.2023.9010032openalex-snapshot

Novel Framework for an Intrusion Detection System Using Multiple Feature Selection Methods Based on Deep Learning

inferredcites →https://doi.org/10.32604/cmc.2023.032617openalex-snapshot

A Fused Machine Learning Approach for Intrusion Detection System

inferredcites →https://doi.org/10.32604/csse.2023.026712openalex-snapshot

Anomaly Detection for Industrial Internet of Things Cyberattacks

inferredcites →https://doi.org/10.32604/iasc.2023.027039openalex-snapshot

Intrusion Detection Using Ensemble Wrapper Filter Based Feature Selection with Stacking Model

inferredcites →https://doi.org/10.3390/app10051775openalex-snapshot

Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

inferredcites →https://doi.org/10.3390/app13064006openalex-snapshot

Effective Class-Imbalance Learning Based on SMOTE and Convolutional Neural Networks

inferredcites →https://doi.org/10.3390/app14031044openalex-snapshot

Optimizing Cybersecurity Attack Detection in Computer Networks: A Comparative Analysis of Bio-Inspired Optimization Algorithms Using the CSE-CIC-IDS 2018 Dataset

inferredcites →https://doi.org/10.3390/electronics12153323openalex-snapshot

SPE-ACGAN: A Resampling Approach for Class Imbalance Problem in Network Intrusion Detection Systems

inferredcites →https://doi.org/10.3390/electronics9091533openalex-snapshot

DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking

inferredcites →https://doi.org/10.3390/electronics9122114openalex-snapshot

Optimizing Filter-Based Feature Selection Method Flow for Intrusion Detection System

inferredcites →https://doi.org/10.3390/info14010041openalex-snapshot

Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks

inferredcites →https://doi.org/10.3390/info14020103openalex-snapshot

A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems

inferredcites →https://doi.org/10.3390/jsan12020029openalex-snapshot

Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT

inferredcites →https://doi.org/10.3390/s22031154openalex-snapshot

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method

inferredcites →https://doi.org/10.3390/s23010550openalex-snapshot

An Imbalanced Generative Adversarial Network-Based Approach for Network Intrusion Detection in an Imbalanced Dataset

inferredcites →https://doi.org/10.3390/s23187796openalex-snapshot

SGAN-IDS: Self-Attention-Based Generative Adversarial Network against Intrusion Detection Systems

inferredcites →https://doi.org/10.3390/su15129395openalex-snapshot

Applying Transfer Learning Approaches for Intrusion Detection in Software-Defined Networking

inferredcites →https://doi.org/10.3390/sym14061095openalex-snapshot

Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method

inferredcites →https://doi.org/10.36227/techrxiv.12480425.v3openalex-snapshot

Effects of Feature Selection and Normalization on Network Intrusion Detection

inferredcites →https://doi.org/10.5220/0006639801080116openalex-snapshot

Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

inferredcites →https://doi.org/10.9734/ajrcos/2021/v9i430229openalex-snapshot

Deep Learning Approaches for Intrusion Detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-08977-9_14openalex-snapshot

Robust UAV Intrusion Detection via Federated Learning: A Comparison of NN and CNN-LSTM Models

inferred← citeshttps://doi.org/10.1007/s41060-025-00980-zopenalex-snapshot

Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solution

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110900openalex-snapshot

GA-CNN-BiGRU-IDS: A robust framework for Intrusion Detection System based on GA for data augmentation and hybrid CNN-BiGRU model for spatiotemporal feature extraction

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130764openalex-snapshot

COBRA: Counterfactual oversampling framework for imbalanced structured data classification

inferred← citeshttps://doi.org/10.1016/j.psep.2026.108750openalex-snapshot

Anomaly detection for LNG storage tanks with limited sensor data using WGAN-CADA and multi-branch probabilistic autoencoder

inferred← citeshttps://doi.org/10.1016/j.rineng.2026.111498openalex-snapshot

Hybrid dual-head IDS: A lightweight and explainable deep learning DDOS/DOS framework for zero-day and imbalanced attack detection in IoT networks

inferred← citeshttps://doi.org/10.1109/icaft66710.2025.11453207openalex-snapshot

Adversarial-Reconstruction Hybrid Loss Framework for Robust Anomaly Scoring in Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/icicacs65178.2025.10968940openalex-snapshot

A Hybrid Deep Learning Framework for Efficient Network Intrusion Detection Systems using Data Augmentation

inferred← citeshttps://doi.org/10.1109/icnc68183.2026.11416962openalex-snapshot

MAGE-ID: A Multimodal Generative Framework for Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/icwite64848.2025.11306967openalex-snapshot

Adversarial Learning-Based IoT Intrusion Detection Using WALE-Optimized GAN

inferred← citeshttps://doi.org/10.1155/je/2021709openalex-snapshot

A Deep Learning Approach Using Optimized LSTM for Anomaly‐Based Network Intrusion Detection

inferred← citeshttps://doi.org/10.3390/math13213391openalex-snapshot

MIDS-GAN: Minority Intrusion Data Synthesizer GAN—An ACON Activated Conditional GAN for Minority Intrusion Detection

inferred← citeshttps://doi.org/10.3390/s26113405openalex-snapshot

Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends

inferred← citeshttps://doi.org/10.61710/9jq4y549openalex-snapshot

Cyberdefense Powered by Generative AI: A Comprehensive State –of- the -Art Review

inferred← citeshttps://doi.org/10.62411/faith.3048-3719-63openalex-snapshot

OMIC: A Bagging-Based Ensemble Learning Framework for Large-Scale IoT Intrusion Detection

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