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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 171–180 of 261 papers

TitleStatusHype
Multidomain transformer-based deep learning for early detection of network intrusion—0
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection—0
Adversarial Examples in Constrained Domains—0
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks—0
Network Intrusion Detection based on LSTM and Feature Embedding—0
Network Intrusion Detection System in a Light Bulb—0
Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection—0
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning—0
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability—0
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning—0
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