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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 151–160 of 261 papers

TitleStatusHype
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
Large Language Models for Cyber Security: A Systematic Literature Review—0
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection—0
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection—0
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT—0
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks—0
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks—0
Learning Privately from Multiparty Data—0
Active Learning for Network Intrusion Detection—0
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