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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 211–220 of 261 papers

TitleStatusHype
Hybrid Model For Intrusion Detection Systems—0
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data—0
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networksCode1
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process—0
Pelican: A Deep Residual Network for Network Intrusion Detection—0
Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 DatasetCode0
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms—0
Network Intrusion Detection based on LSTM and Feature Embedding—0
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response—0
Deep Anomaly Detection with Deviation NetworksCode0
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