Adaptive and Proximal Federated Optimization for Transferable Network Intrusion Detection
Proximal federated optimization beat FedAvg for transferable intrusion detection on CIC-IDS 2017, showing a depth-versus-breadth trade-off.
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Stories tagged #nids
Passive Hybrid Network-Based Intrusion Detection System (Hybrid-NIDS) Combining Suricata and Random Forest
Suricata and Random Forest hybrid NIDS scored F1 0.97 on UNSW-NB15 but failed in lab tests.
A Feature-Rich Embedded NIDS with eBPF/XDP: Detector and Architecture Trade-offs
eBPF/XDP-based NIDS with Isolation Forest reaches 0.965 live F1 on DDoS replay; gRPC microservices match monolithic accuracy within 2ms overhead.
A First-Principles Evaluation of Graph-Based Network Intrusion Detection Systems
GIDS-Eval framework reveals evaluation gaps in graph-based network intrusion detection; two crafted edges fully evade three detector-dataset pairs.
Few-Shot Learning for Network Intrusion Detection: Methods, Datasets, and Performance
A PRISMA-style review of 21 few-shot learning studies for network intrusion detection finds meta-learning and CNNs dominant and evaluation inconsistently reported.
Navigating the Latent Manifold: Proactive Concept Drift Adaptation for Resilient NIDS
Researchers propose DriftXpert, a concept-drift-adaptive network intrusion detection system validated on enterprise networks, addressing degraded AI-based NIDS performance in dynamic traffic.