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FedProtoGuard: Communication-Efficient Federated Prototype Learning for Open-World Intrusion Detection Systems

https://doi.org/10.2139/ssrn.6865313
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An Introduction to Statistical Modeling of Extreme Values
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A dual-tier adaptive one-class classification IDS for emerging cyberthreats
inferredcites →https://doi.org/10.1016/j.cosrev.2024.100717openalex-snapshot
A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions
inferredcites →https://doi.org/10.1016/j.eswa.2023.121000openalex-snapshot
Fed-ANIDS: Federated learning for anomaly-based network intrusion detection systems
inferredcites →https://doi.org/10.1016/j.jpdc.2024.104934openalex-snapshot
Meta-Fed IDS: Meta-learning and Federated learning based fog-cloud approach to detect known and zero-day cyber attacks in IoMT networks
inferredcites →https://doi.org/10.1038/s41598-025-02068-xopenalex-snapshot
Federated transfer learning for rare attack class detection in network intrusion detection systems
inferredcites →https://doi.org/10.1109/atc63255.2024.10908328openalex-snapshot
FI-IDS: A Federated Incremental Learning Approach for Intrusion Detection System
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01565openalex-snapshot
Rethinking Federated Learning with Domain Shift: A Prototype View
inferredcites →https://doi.org/10.1109/icc45041.2023.10279368openalex-snapshot
Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
inferredcites →https://doi.org/10.1109/jiot.2021.3100755openalex-snapshot
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices
inferredcites →https://doi.org/10.1109/jiot.2026.3650848openalex-snapshot
Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
inferredcites →https://doi.org/10.1109/tdsc.2025.3599321openalex-snapshot
Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection
inferredcites →https://doi.org/10.1109/tifs.2022.3233777openalex-snapshot
Intrusion Detection Scheme With Dimensionality Reduction in Next Generation Networks
inferredcites →https://doi.org/10.1109/tii.2022.3212003openalex-snapshot
A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems
inferredcites →https://doi.org/10.1109/tnsm.2024.3385385openalex-snapshot
Evaluating Federated Learning-Based Intrusion Detection Scheme for Next Generation Networks
inferredcites →https://doi.org/10.1109/tsmc.2023.3293462openalex-snapshot
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams
inferredcites →https://doi.org/10.1145/3485447.3512221openalex-snapshot
MemStream: Memory-Based Streaming Anomaly Detection
inferredcites →https://doi.org/10.1145/3589334.3645407openalex-snapshot
Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection
inferredcites →https://doi.org/10.1145/3617897openalex-snapshot
Machine Learning (In) Security: A Stream of Problems
inferredcites →https://doi.org/10.1145/3657286openalex-snapshot
A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities
inferredcites →https://doi.org/10.1145/3687124openalex-snapshot
Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions
inferredcites →https://doi.org/10.1609/aaai.v36i8.20819openalex-snapshot
FedProto: Federated Prototype Learning across Heterogeneous Clients
inferredcites →https://doi.org/10.1609/aaai.v38i15.29617openalex-snapshot
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
inferredcites →https://doi.org/10.5220/0006639801080116openalex-snapshot
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
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