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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 181–190 of 261 papers

TitleStatusHype
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection—0
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT—0
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks—0
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks—0
Learning Privately from Multiparty Data—0
Learning to Detect: A Data-driven Approach for Network Intrusion Detection—0
Machine Learning Applications in Misuse and Anomaly Detection—0
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction—0
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction—0
Mapping the Landscape of Generative AI in Network Monitoring and Management—0
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