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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
Exploring Edge TPU for Network Intrusion Detection in IoT—0
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoTCode1
Explaining Network Intrusion Detection System Using Explainable AI Framework—0
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack—0
A flow-based IDS using Machine Learning in eBPFCode1
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural NetworkCode1
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy—0
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset—0
Towards Network Traffic Monitoring Using Deep Transfer Learning—0
A Novel Resampling Technique for Imbalanced Dataset Optimization—0
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