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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 151–160 of 261 papers

TitleStatusHype
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems—0
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling—0
The Efficacy of Transformer-based Adversarial Attacks in Security Domains—0
Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System—0
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection—0
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification—0
Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services—0
Towards Explainable Network Intrusion Detection using Large Language Models—0
Towards Network Traffic Monitoring Using Deep Transfer Learning—0
Toward Supervised Anomaly Detection—0
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