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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 41–50 of 261 papers

TitleStatusHype
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection—0
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm—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
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
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats—0
Active Learning for Network Intrusion Detection—0
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