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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 21–30 of 261 papers

TitleStatusHype
Continual Learning with Strategic Selection and Forgetting for Network Intrusion DetectionCode1
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural NetworkCode1
FedMSE: Federated learning for IoT network intrusion detectionCode1
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection SystemsCode1
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANsCode1
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack DetectionCode1
netFound: Foundation Model for Network SecurityCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
PolyLUT-Add: FPGA-based LUT Inference with Wide InputsCode1
Representation Learning for Content-Sensitive Anomaly Detection in Industrial NetworksCode1
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