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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 141–150 of 261 papers

TitleStatusHype
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration—0
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection—0
Intelligent Green Efficiency for Intrusion Detection—0
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS—0
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset—0
Intrusion Detection using Sequential Hybrid Model—0
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System—0
Investigating Application of Deep Neural Networks in Intrusion Detection System Design—0
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection—0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation—0
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