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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 151–175 of 261 papers

TitleStatusHype
Toward Supervised Anomaly Detection—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection—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
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI—0
Learning to Detect: A Data-driven Approach for Network Intrusion Detection—0
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review—0
Adversarial Machine Learning in Network Intrusion Detection Systems—0
Machine Learning Applications in Misuse and Anomaly Detection—0
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction—0
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction—0
Mapping the Landscape of Generative AI in Network Monitoring and Management—0
Mimic Learning to Generate a Shareable Network Intrusion Detection Model—0
Model Selection for Anomaly Detection—0
Multi-agent Reinforcement Learning-based Network Intrusion Detection System—0
Multidomain transformer-based deep learning for early detection of network intrusion—0
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection—0
Adversarial Examples in Constrained Domains—0
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks—0
Network Intrusion Detection based on LSTM and Feature Embedding—0
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