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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 161–170 of 261 papers

TitleStatusHype
Learning to Detect: A Data-driven Approach for Network Intrusion Detection—0
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review—0
Adversarial Machine Learning in Network Intrusion Detection Systems—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
Mimic Learning to Generate a Shareable Network Intrusion Detection Model—0
Model Selection for Anomaly Detection—0
Multi-agent Reinforcement Learning-based Network Intrusion Detection System—0
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