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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 101–110 of 261 papers

TitleStatusHype
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning—0
Explaining Network Intrusion Detection System Using Explainable AI Framework—0
Energy-based Models for Video Anomaly Detection—0
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI—0
Decision-forest voting scheme for classification of rare classes in network intrusion detection—0
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification—0
Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection—0
EPASAD: Ellipsoid decision boundary based Process-Aware Stealthy Attack Detector—0
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking—0
Dealing with Imbalanced Classes in Bot-IoT Dataset—0
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