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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 191–200 of 261 papers

TitleStatusHype
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset—0
RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning—0
Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated LearningCode1
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems—0
Adversarial Examples in Constrained Domains—0
DualNet: Locate Then Detect Effective Payload with Deep Attention Network—0
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection—0
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling—0
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANsCode1
Machine Learning Applications in Misuse and Anomaly Detection—0
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