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 51–60 of 261 papers

TitleStatusHype
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI—0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm—0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
A Transfer Learning Approach for Network Intrusion Detection—0
Attribute Learning for Network Intrusion Detection—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
Show:102550
← PrevPage 6 of 27Next →

No leaderboard results yet.