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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 211–220 of 261 papers

TitleStatusHype
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection—0
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System—0
SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification—0
Security Evaluation of Pattern Classifiers under Attack—0
Segmented Federated Learning for Adaptive Intrusion Detection System—0
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
Sequential Binary Classification for Intrusion Detection—0
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection—0
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection—0
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