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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
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
Diffusion-based Adversarial Purification for Intrusion DetectionCode0
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationCode0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
Deep Anomaly Detection with Deviation NetworksCode0
Data Distribution ValuationCode0
SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type ClassificationCode0
LuNet: A Deep Neural Network for Network Intrusion DetectionCode0
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