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 171–180 of 261 papers

TitleStatusHype
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration—0
Intelligent Green Efficiency for Intrusion Detection—0
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS—0
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset—0
Intrusion Detection using Sequential Hybrid Model—0
Investigating Application of Deep Neural Networks in Intrusion Detection System Design—0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
Large Language Models for Cyber Security: A Systematic Literature Review—0
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection—0
Show:102550
← PrevPage 18 of 27Next →

No leaderboard results yet.