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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
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks—0
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach—0
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries—0
Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data—0
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data—0
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection—0
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
DI-NIDS: Domain Invariant Network Intrusion Detection System—0
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