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

https://doi.org/10.3390/electronics11193138

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What this work says

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

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

inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot

The EU General Data Protection Regulation (GDPR)

inferredcites →https://doi.org/10.1016/j.cose.2017.05.009openalex-snapshot

Flow-based intrusion detection: Techniques and challenges

inferredcites →https://doi.org/10.1016/j.dib.2020.106187openalex-snapshot

Boğaziçi University distributed denial of service dataset

inferredcites →https://doi.org/10.1016/j.future.2021.03.024openalex-snapshot

Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection

inferredcites →https://doi.org/10.1016/j.jnca.2021.103111openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.jpdc.2020.10.006openalex-snapshot

Decentralized learning works: An empirical comparison of gossip learning and federated learning

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

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Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications

inferredcites →https://doi.org/10.1109/access.2020.3041641openalex-snapshot

Distributed Network Intrusion Detection System in Satellite-Terrestrial Integrated Networks Using Federated Learning

inferredcites →https://doi.org/10.1109/access.2021.3058528openalex-snapshot

LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing

inferredcites →https://doi.org/10.1109/access.2021.3094365openalex-snapshot

A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System

inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005507openalex-snapshot

Federated Wireless Network Intrusion Detection

inferredcites →https://doi.org/10.1109/comst.2021.3075439openalex-snapshot

Federated Learning for Internet of Things: A Comprehensive Survey

inferredcites →https://doi.org/10.1109/icdcs.2019.00080openalex-snapshot

DÏoT: A Federated Self-learning Anomaly Detection System for IoT

inferredcites →https://doi.org/10.1109/icnsc.2006.1673246openalex-snapshot

Flow-based Statistical Aggregation Schemes for Network Anomaly Detection

inferredcites →https://doi.org/10.1109/infocomwkshps51825.2021.9484545openalex-snapshot

Data Privacy Security Guaranteed Network Intrusion Detection System Based on Federated Learning

inferredcites →https://doi.org/10.1109/infocomwkshps51825.2021.9484622openalex-snapshot

A Lightweight Residual Networks Framework for DDoS Attack Classification Based on Federated Learning

inferredcites →https://doi.org/10.1109/lwc.2022.3151873openalex-snapshot

FBI: A Federated Learning-Based Blockchain-Embedded Data Accumulation Scheme Using Drones for Internet of Things

inferredcites →https://doi.org/10.1109/meco52532.2021.9460304openalex-snapshot

Hierarchical Federated Learning for Collaborative IDS in IoT Applications

inferredcites →https://doi.org/10.1109/mnet.011.2000286openalex-snapshot

Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning?

inferredcites →https://doi.org/10.1109/msp.2017.2743240openalex-snapshot

Deep Reinforcement Learning: A Brief Survey

inferredcites →https://doi.org/10.1109/rteict52294.2021.9573685openalex-snapshot

A Comparative Analysis of Deep Learning Approaches in Intrusion Detection System

inferredcites →https://doi.org/10.1109/surv.2013.052213.00046openalex-snapshot

Network Anomaly Detection: Methods, Systems and Tools

inferredcites →https://doi.org/10.1109/tii.2020.3007817openalex-snapshot

A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

inferredcites →https://doi.org/10.1109/tim.2022.3180417openalex-snapshot

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tkde.2021.3124599openalex-snapshot

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

inferredcites →https://doi.org/10.1109/tnse.2019.2936466openalex-snapshot

Data-Driven Edge Intelligence for Robust Network Anomaly Detection

inferredcites →https://doi.org/10.1109/tnsm.2021.3075503openalex-snapshot

A New Method for Flow-Based Network Intrusion Detection Using the Inverse Potts Model

inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot

Machine learning: Trends, perspectives, and prospects

inferredcites →https://doi.org/10.1145/3450288openalex-snapshot

A Systematic Literature Review on Federated Machine Learning

inferredcites →https://doi.org/10.1145/3460427openalex-snapshot

A Comprehensive Survey of Privacy-preserving Federated Learning

inferredcites →https://doi.org/10.1145/96602.96604openalex-snapshot

Federated database systems for managing distributed, heterogeneous, and autonomous databases

inferredcites →https://doi.org/10.1155/2021/9322368openalex-snapshot

An Improved K ‐Means Clustering Intrusion Detection Algorithm for Wireless Networks Based on Federated Learning

inferredcites →https://doi.org/10.1200/cci.19.00047openalex-snapshot

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care

inferredcites →https://doi.org/10.2991/ijcis.d.210105.001openalex-snapshot

Intrusion Detection Systems, Issues, Challenges, and Needs

inferredcites →https://doi.org/10.3390/app8122663openalex-snapshot

Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study

inferredcites →https://doi.org/10.3390/e23030344openalex-snapshot

An Efficient DenseNet-Based Deep Learning Model for Malware Detection

inferredcites →https://doi.org/10.3390/e23050529openalex-snapshot

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

inferredcites →https://doi.org/10.3390/electronics10040485openalex-snapshot

Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection

inferredcites →https://doi.org/10.3390/electronics10111341openalex-snapshot

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

inferredcites →https://doi.org/10.3390/electronics10151854openalex-snapshot

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

inferredcites →https://doi.org/10.3390/electronics10192444openalex-snapshot

Image-Based Malware Classification Using VGG19 Network and Spatial Convolutional Attention

inferredcites →https://doi.org/10.3390/electronics9050800openalex-snapshot

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

inferredcites →https://doi.org/10.3390/informatics8010010openalex-snapshot

Windows PE Malware Detection Using Ensemble Learning

inferredcites →https://doi.org/10.3390/s20216230openalex-snapshot

Federated Learning in Smart City Sensing: Challenges and Opportunities

inferredcites →https://doi.org/10.3390/s21196432openalex-snapshot

IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10462-024-11082-wopenalex-snapshot

Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection

inferred← citeshttps://doi.org/10.1007/s12083-024-01819-3openalex-snapshot

Deep learning for intrusion detection in IoT networks

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109233openalex-snapshot

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100717openalex-snapshot

A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions

inferred← citeshttps://doi.org/10.1049/2024/8821891openalex-snapshot

A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023

inferred← citeshttps://doi.org/10.1109/access.2024.3362347openalex-snapshot

Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption

inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11468073openalex-snapshot

Usage of Hashed Time-Frequency Constellation Analysis in Real-Time Network Traffic Fingerprinting for Anomaly Detection

inferred← citeshttps://doi.org/10.1109/icbiti65527.2025.11500670openalex-snapshot

Anomaly Detection in Traffic Data Using Federated Learning

inferred← citeshttps://doi.org/10.1109/icscss64956.2025.11501040openalex-snapshot

Animal Detection and Posture Estimation in Farm Environments using Deep Learning

inferred← citeshttps://doi.org/10.1109/ictai59109.2023.00079openalex-snapshot

A Federated Learning Approach for Anomaly Detection in High Performance Computing

inferred← citeshttps://doi.org/10.1109/imcec66174.2025.11332222openalex-snapshot

EN-DPFed: Internet of Things Malicious Traffic Detection Framework Based on Federated Learning and Homomorphic Encryption

inferred← citeshttps://doi.org/10.1109/rice67503.2025.11439984openalex-snapshot

Image Detection Using Federated Learning

inferred← citeshttps://doi.org/10.1117/12.3060553openalex-snapshot

Research on UAV image recognition and fault classification for intelligent power inspection system using deep learning

inferred← citeshttps://doi.org/10.1186/s42400-024-00297-7openalex-snapshot

Enhanced anomaly traffic detection framework using BiGAN and contrastive learning

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141231openalex-snapshot

A Novel Paradigm for IoT Security: ResNet-GRU Model Revolutionizes Botnet Attack Detection

inferred← citeshttps://doi.org/10.3390/app13074624openalex-snapshot

Image-Based Malware Detection Using α-Cuts and Binary Visualisation

inferred← citeshttps://doi.org/10.3390/electronics11213616openalex-snapshot

A Method for Predicting the Remaining Life of Rolling Bearings Based on Multi-Scale Feature Extraction and Attention Mechanism

inferred← citeshttps://doi.org/10.4018/978-1-6684-7625-3.ch003openalex-snapshot

A Distributed Model for IoT Anomaly Detection Using Federated Learning

inferred← citeshttps://doi.org/10.5753/sbrc.2025.5923openalex-snapshot

Mitigação de Envenenamento de Rótulos em Sistemas de Detecção de DDoS Federados

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