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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 201–210 of 261 papers

TitleStatusHype
Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion DetectionCode0
Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection—0
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection SystemsCode1
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection—0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
Efficient Deep CNN-BiLSTM Model for Network Intrusion DetectionCode1
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion DetectorsCode1
Adversarial Machine Learning in Network Intrusion Detection Systems—0
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm—0
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput ApplicationsCode1
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