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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 41–50 of 261 papers

TitleStatusHype
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection—0
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
Mapping the Landscape of Generative AI in Network Monitoring and Management—0
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