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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
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN—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
CoAP-DoS: An IoT Network Intrusion Dataset—0
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability—0
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