SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–261 of 261 papers

TitleStatusHype
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT SystemsCode0
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionCode0
XAI-based Feature Selection for Improved Network Intrusion Detection SystemsCode0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
Diffusion-based Adversarial Purification for Intrusion DetectionCode0
Sparse Bayesian approach for metric learning in latent spaceCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationCode0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
Deep Anomaly Detection with Deviation NetworksCode0
Show:102550
← PrevPage 11 of 11Next →

No leaderboard results yet.