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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

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Showing 131–140 of 261 papers

TitleStatusHype
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks—0
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection—0
GowFed -- A novel Federated Network Intrusion Detection System—0
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles—0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier—0
Toward Supervised Anomaly Detection—0
Hybrid Model For Intrusion Detection Systems—0
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset—0
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection—0
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