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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 61–70 of 261 papers

TitleStatusHype
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
Diffusion-based Adversarial Purification for Intrusion DetectionCode0
Data Distribution ValuationCode0
Deep Anomaly Detection with Deviation NetworksCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
LuNet: A Deep Neural Network for Network Intrusion DetectionCode0
Large Language Models for Cyber Security: A Systematic Literature ReviewCode0
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection—0
An Interpretable Federated Learning-based Network Intrusion Detection Framework—0
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