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 221–230 of 261 papers

TitleStatusHype
Sorting out typicality with the inverse moment matrix SOS polynomial—0
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks—0
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection—0
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning—0
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review—0
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process—0
SynGAN: Towards Generating Synthetic Network Attacks using GANs—0
V-CNN: When Convolutional Neural Network encounters Data Visualization—0
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems—0
Show:102550
← PrevPage 23 of 27Next →

No leaderboard results yet.