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Combined Wireless Network Intrusion Detection Model Based on Deep Learning

https://doi.org/10.1109/access.2019.2923814

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What this work says

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

inferredcites →https://doi.org/10.1016/j.jisa.2016.02.001openalex-snapshot

A taxonomy for attack graph generation and usage in network security

inferredcites →https://doi.org/10.1049/iet-bmt.2017.0083openalex-snapshot

Strengths and weaknesses of deep learning models for face recognition against image degradations

inferredcites →https://doi.org/10.1088/1742-6596/1087/6/062019openalex-snapshot

An improved bayesian network intrusion detection algorithm based on deep learning

inferredcites →https://doi.org/10.1088/1742-6596/1966/1/012051openalex-snapshot

Network intrusion detection method based on deep learning

inferredcites →https://doi.org/10.1109/access.2018.2869577openalex-snapshot

Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection

inferredcites →https://doi.org/10.1109/compcomm.2017.8322786openalex-snapshot

Research on intrusion detection technology based on deep learning

inferredcites →https://doi.org/10.1109/cse-euc.2017.119openalex-snapshot

Intrusion Detection Using Deep Belief Network and Probabilistic Neural Network

inferredcites →https://doi.org/10.1109/csnt.2015.185openalex-snapshot

Classification of Attacks Using Support Vector Machine (SVM) on KDDCUP'99 IDS Database

inferredcites →https://doi.org/10.1109/icctict.2016.7514608openalex-snapshot

Detection of Application Layer DDoS attack by feature learning using Stacked AutoEncoder

inferredcites →https://doi.org/10.1109/ivs.2015.7225824openalex-snapshot

Essential feature extraction of driving behavior using a deep learning method

inferredcites →https://doi.org/10.1146/annurev-bioeng-071516-044442openalex-snapshot

Deep Learning in Medical Image Analysis

inferredcites →https://doi.org/10.1162/089976602760128018openalex-snapshot

Training Products of Experts by Minimizing Contrastive Divergence

What points at this work

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

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Few-Shot Learning for Zero-Day Intrusion Detection: A Meta-Learning Approach with MAML and Prototypical Networks

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Design and Implementation of Network Intrusion Detection System ( NIDS ) Based on Deep Learning

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Anomaly Detection Technique for Network Intrusion Detection Using Ensemble Algorithm

inferred← citeshttps://doi.org/10.1007/978-981-16-3675-2_27openalex-snapshot

Reinforce NIDS Using GAN to Detect U2R and R2L Attacks

inferred← citeshttps://doi.org/10.1007/978-981-99-3177-4_27openalex-snapshot

Deep Learning-Based Intrusion Detection Model for Network Security

inferred← citeshttps://doi.org/10.1007/s10207-024-00896-yopenalex-snapshot

RETRACTED ARTICLE: Deep learning based network intrusion detection system: a systematic literature review and future scopes

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Deep intrusion net: an efficient framework for network intrusion detection using hybrid deep TCN and GRU with integral features

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Edge computing-based intrusion detection model wireless sensor networks: leveraging machine learning on WSN-DS dataset

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A Novel Cyber Security Model Using Deep Transfer Learning

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Ensuring network security with a robust intrusion detection system using ensemble-based machine learning

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A novel wide & deep transfer learning stacked GRU framework for network intrusion detection

inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.10.019openalex-snapshot

SPIDER: A shallow PCA based network intrusion detection system with enhanced recurrent neural networks

inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103111openalex-snapshot

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

inferred← citeshttps://doi.org/10.1049/ntw2.12128openalex-snapshot

Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges

inferred← citeshttps://doi.org/10.1080/17517575.2025.2595703openalex-snapshot

A CircleSA-Optimised feature selection and FNP-SE deep learning framework for enhanced network intrusion detection in enterprise systems

inferred← citeshttps://doi.org/10.1088/1757-899x/1022/1/012036openalex-snapshot

A Survey on Network Intrusion System Attacks Classification Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.1109/access.2021.3049249openalex-snapshot

Intrusion Detection System Based on Integrated System Calls Graph and Neural Networks

inferred← citeshttps://doi.org/10.1109/access.2021.3097247openalex-snapshot

Deep Learning-Based Intrusion Detection Systems: A Systematic Review

inferred← citeshttps://doi.org/10.1109/access.2022.3183213openalex-snapshot

Hybrid Optimization Enabled Robust CNN-LSTM Technique for Network Intrusion Detection

inferred← citeshttps://doi.org/10.1109/access.2024.3404866openalex-snapshot

Neural Networks in Selected Aspects of Communications and Networking

inferred← citeshttps://doi.org/10.1109/aimla59606.2024.10531381openalex-snapshot

Network Intrusion Detection System Using Optimized Feature Selection

inferred← citeshttps://doi.org/10.1109/balkancom65827.2025.11186044openalex-snapshot

Simultaneous Intrusion Detection and Localization Using ISAC Network

inferred← citeshttps://doi.org/10.1109/ccem60455.2023.00022openalex-snapshot

An Ensemble Learning Approach for Malicious Traffic Detection in Wireless Sensor Networks

inferred← citeshttps://doi.org/10.1109/ccet56606.2022.10080485openalex-snapshot

Machine Learning Technique of Intrusion Detection System for Vehicular Ad Hoc Networks : An Analysis

inferred← citeshttps://doi.org/10.1109/comsnets63942.2025.10885709openalex-snapshot

Next-Level Intrusion Detection: Multilayered Security for Future Generation 6G Networks

inferred← citeshttps://doi.org/10.1109/conit61985.2024.10627542openalex-snapshot

Network Intrusion Detection System using Random Forest and Gradient Boosting Machines

inferred← citeshttps://doi.org/10.1109/ecce57851.2023.10101590openalex-snapshot

Attention-based RNN architecture for detecting multi-step cyber-attack using PSO metaheuristic

inferred← citeshttps://doi.org/10.1109/hora52670.2021.9461285openalex-snapshot

A new Deep Learning Based Intrusion Detection System for Cloud Security

inferred← citeshttps://doi.org/10.1109/icirca57980.2023.10220608openalex-snapshot

Top-Performing Unifying Architecture for Network Intrusion Detection in SDN Using Fully Convolutional Network

inferred← citeshttps://doi.org/10.1109/icpcsn65854.2025.11035630openalex-snapshot

Advanced Intrusion Detection System Leveraging Support Vector Machine algorithm

inferred← citeshttps://doi.org/10.1109/icsc60084.2023.10349990openalex-snapshot

Enhancing Network Security Through Proactive Anomaly Detection: A Comparative Study of Auto-Encoder Models and K-Nearest Neighbours Algorithm

inferred← citeshttps://doi.org/10.1109/indiscon58499.2023.10270505openalex-snapshot

Intrusion Detection in IoT Systems Using Ensemble Machine Learning Techniques

inferred← citeshttps://doi.org/10.1109/peeic59336.2023.10451596openalex-snapshot

A Brief Framework on Identifying About Accidental Attacksr in WSN Channels

inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546423openalex-snapshot

An Explainable Ensemble Framework for Multi-Class Intrusion Detection and Performance Comparison

inferred← citeshttps://doi.org/10.1109/tnse.2023.3237367openalex-snapshot

MiTFed: A Privacy Preserving Collaborative Network Attack Mitigation Framework Based on Federated Learning Using SDN and Blockchain

inferred← citeshttps://doi.org/10.1109/tnsm.2022.3197921openalex-snapshot

LGTBIDS: Layer-Wise Graph Theory-Based Intrusion Detection System in Beyond 5G

inferred← citeshttps://doi.org/10.1177/14604582261429465openalex-snapshot

Enhanced threat detection in health care systems with random coupled bootstrapped ensemble classifier

inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0120437openalex-snapshot

A Multi-layer Machine Learning-based Intrusion Detection System for Wireless Sensor Networks

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141287openalex-snapshot

Presentation of a New Method for Intrusion Detection by using Deep Learning in Network

inferred← citeshttps://doi.org/10.17485/ijst/v13i30.1152openalex-snapshot

Bee inspired secured protocol for routing in cognitive radio ad hoc networks

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A decisive approach to intrusion detection system using machine learning model

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Ensemble-Based Approach for Efficient Intrusion Detection in Network Traffic

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Toward Efficient Intrusion Detection System Using Hybrid Deep Learning Approach

inferred← citeshttps://doi.org/10.38124/ijisrt/25oct1263openalex-snapshot

A Hybrid Petri Net–AI Architecture for Adaptive and Explainable Cybersecurity in Business Workflows

inferred← citeshttps://doi.org/10.4018/978-1-7998-2910-2.ch008openalex-snapshot

Intelligent Automation Using Machine and Deep Learning in Cybersecurity of Industrial IoT

inferred← citeshttps://doi.org/10.4018/978-1-7998-5068-7.ch004openalex-snapshot

Wireless Environment Security

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Intrusion Detection System with a Modified DASO Optimization Algorithm

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Anomaly Detection - Recent Advances, AI and ML Perspectives and Applications

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Anomaly Detection through Adaptive DASO Optimization Techniques

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Security Enforcement through Software Defined Networks (SDN)

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