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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 81–90 of 261 papers

TitleStatusHype
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm—0
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI—0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm—0
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection—0
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection—0
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier—0
Assessing Cyclostationary Malware Detection via Feature Selection and Classification—0
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors—0
An AutoML-based approach for Network Intrusion Detection—0
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