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LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection

https://doi.org/10.3390/electronics9050800

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What this work says

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An improved long short term memory network for intrusion detection

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Construction of VAE-GRU-XGBoost intrusion detection model for network security

inferred← citeshttps://doi.org/10.15181/csat.v9.2504openalex-snapshot

Mašininių mokymo metodų lyginamoji našumo analizė kibernetinių incidentų aptikimui daiktų interneto tinkluose

inferred← citeshttps://doi.org/10.15388/21-infor457openalex-snapshot

Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets

inferred← citeshttps://doi.org/10.18280/ijsse.130401openalex-snapshot

Development of a Malicious Network Traffic Intrusion Detection System Using Deep Learning

inferred← citeshttps://doi.org/10.18280/ria.360511openalex-snapshot

Stabbing of Intrusion with Learning Framework Using Auto Encoder Based Intellectual Enhanced Linear Support Vector Machine for Feature Dimensionality Reduction

inferred← citeshttps://doi.org/10.2139/ssrn.5388573openalex-snapshot

Machine Learning for Industrial Iot Cybersecurity: A Systematic Review

inferred← citeshttps://doi.org/10.22581/muet1982.2301.14openalex-snapshot

Network intrusion detection system using an optimized machine learning algorithm

inferred← citeshttps://doi.org/10.25130/tjps.v29i3.1553openalex-snapshot

Using Machine Learning Algorithms in Intrusion Detection Systems: A Review

inferred← citeshttps://doi.org/10.28925/2663-4023.2023.19.209225openalex-snapshot

DETECTION OF NETWORK INTRUSIONS USING MACHINE LEARNING ALGORITHMS AND FUZZY LOGIC

inferred← citeshttps://doi.org/10.28925/2663-4023.2023.21.234251openalex-snapshot

DETECTION OF NETWORK INTRUSIONS USING MACHINE LEARNING ALGORITHMS AND FUZZY LOGIC

inferred← citeshttps://doi.org/10.28925/2663-4023.2025.29.889openalex-snapshot

INTEGRATION OF INTRUSION DETECTION SYSTEMS INTO THE CORPORATE NETWORK STRUCTURE: APPROACHES, CHALLENGES AND EFFICIENCY OF INCIDENT RESPONSE

inferred← citeshttps://doi.org/10.28925/2663-4023.2025.30.928openalex-snapshot

INFORMATION THREATS AND METHODS OF ENSURING SECURITY IN MODERN ONLINE GAMES

inferred← citeshttps://doi.org/10.29304/jqcsm.2023.15.41346openalex-snapshot

Multi Level Deep Learning Model for Network Anomaly Detection

inferred← citeshttps://doi.org/10.32604/csse.2023.031063openalex-snapshot

Hybrid Metaheuristics Feature Selection with Stacked Deep Learning-Enabled Cyber-Attack Detection Model

inferred← citeshttps://doi.org/10.32604/iasc.2022.021879openalex-snapshot

Machine Learning Approach for Improvement in Kitsune NID

inferred← citeshttps://doi.org/10.32604/iasc.2024.056792openalex-snapshot

Distributed Federated Split Learning Based Intrusion Detection System

inferred← citeshttps://doi.org/10.33411/ijist/2022040306openalex-snapshot

Analyzing ML-Based IDS over Real-Traffic

inferred← citeshttps://doi.org/10.3389/frai.2026.1825655openalex-snapshot

Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP

inferred← citeshttps://doi.org/10.3390/app11073022openalex-snapshot

A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling

inferred← citeshttps://doi.org/10.3390/app112311200openalex-snapshot

Research on Alarm Reduction of Intrusion Detection System Based on Clustering and Whale Optimization Algorithm

inferred← citeshttps://doi.org/10.3390/app12094184openalex-snapshot

Network Intrusion Detection Model Based on CNN and GRU

inferred← citeshttps://doi.org/10.3390/app16189205openalex-snapshot

A PRISMA-Derived Deterministic Scoring Framework for Intrusion Detection Dataset Evaluation

inferred← citeshttps://doi.org/10.3390/computers10060079openalex-snapshot

CBAM: A Contextual Model for Network Anomaly Detection

inferred← citeshttps://doi.org/10.3390/computers12120245openalex-snapshot

Optimizing Intrusion Detection Systems in Three Phases on the CSE-CIC-IDS-2018 Dataset

inferred← citeshttps://doi.org/10.3390/data8010018openalex-snapshot

Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework

inferred← citeshttps://doi.org/10.3390/e23050529openalex-snapshot

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

inferred← citeshttps://doi.org/10.3390/electronics10070848openalex-snapshot

CoLL-IoT: A Collaborative Intruder Detection System for Internet of Things Devices

inferred← citeshttps://doi.org/10.3390/electronics10111227openalex-snapshot

Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking

inferred← citeshttps://doi.org/10.3390/electronics10111341openalex-snapshot

Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things

inferred← citeshttps://doi.org/10.3390/electronics10131549openalex-snapshot

Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks

inferred← citeshttps://doi.org/10.3390/electronics10151854openalex-snapshot

A Novel Approach for Network Intrusion Detection Using Multistage Deep Learning Image Recognition

inferred← citeshttps://doi.org/10.3390/electronics11193138openalex-snapshot

Framing Network Flow for Anomaly Detection Using Image Recognition and Federated Learning

inferred← citeshttps://doi.org/10.3390/electronics12204294openalex-snapshot

Network Intrusion Detection Based on Amino Acid Sequence Structure Using Machine Learning

inferred← citeshttps://doi.org/10.3390/electronics13152953openalex-snapshot

SEDAT: A Stacked Ensemble Learning-Based Detection Model for Multiscale Network Attacks

inferred← citeshttps://doi.org/10.3390/electronics15010020openalex-snapshot

AI-Based Anomaly Detection in Industrial Control and Cyber–Physical Systems: A Data-Type-Oriented Systematic Review

inferred← citeshttps://doi.org/10.3390/electronics15132804openalex-snapshot

A Tri-Axis Systematic Literature Review of AI-Powered Cyber Defense: ATT&CK-Aligned Analysis of Cyberattacks, Machine Learning Methods, and Datasets

inferred← citeshttps://doi.org/10.3390/jcp5040112openalex-snapshot

Statistical and Multivariate Analysis of the IoT-23 Dataset: A Comprehensive Approach to Network Traffic Pattern Discovery

inferred← citeshttps://doi.org/10.3390/math10060999openalex-snapshot

A Modified Grey Wolf Optimization Algorithm for an Intrusion Detection System

inferred← citeshttps://doi.org/10.3390/pr9050834openalex-snapshot

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

inferred← citeshttps://doi.org/10.3390/s20164583openalex-snapshot

A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection

inferred← citeshttps://doi.org/10.3390/s21092987openalex-snapshot

A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning

inferred← citeshttps://doi.org/10.3390/s21134294openalex-snapshot

Analysis of Autoencoders for Network Intrusion Detection

inferred← citeshttps://doi.org/10.3390/s21134319openalex-snapshot

The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset

inferred← citeshttps://doi.org/10.3390/s21217070openalex-snapshot

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

inferred← citeshttps://doi.org/10.3390/s23229294openalex-snapshot

Development and Validation of a Cyber-Physical System Leveraging EFDPN for Enhanced WSN-IoT Network Security

inferred← citeshttps://doi.org/10.5121/ijcnc.2024.16404openalex-snapshot

Extending Network Intrusion Detection with Enhanced Particle Swarm Optimization Techniques

inferred← citeshttps://doi.org/10.54654/isj.v3i20.984openalex-snapshot

A review of neural networks for rare intrusions detection in wireless networks

inferred← citeshttps://doi.org/10.62036/isd.2022.47openalex-snapshot

The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It?

inferred← citeshttps://doi.org/10.70675/e06201a6zf272z42c0z8b3czbf0ea31444d1openalex-snapshot

An enhanced multi-protocol middleware solution for Internet of things

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.