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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 251–261 of 261 papers

TitleStatusHype
Attribute Learning for Network Intrusion Detection—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems—0
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets—0
An Interpretable Federated Learning-based Network Intrusion Detection Framework—0
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection—0
ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection—0
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks—0
CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model—0
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