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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 71–80 of 261 papers

TitleStatusHype
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection—0
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion DetectionCode1
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction—0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Improving Transferability of Network Intrusion Detection in a Federated Learning SetupCode1
A Study on Transferability of Deep Learning Models for Network Intrusion DetectionCode1
Real-time Network Intrusion Detection via Decision Transformers—0
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture—0
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification—0
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