Title
Deep Learning-Based Anomaly Detection in LAN from Raw Network Traffic Measurement
Abstract
The digitalization occurring in various industries is bringing more information transmitted through networks. More resilient and efficient network traffic monitoring systems are in high demand to safeguard network flows. In this article, we presented a combined approach of anomaly detection in LAN based on raw network traffic observation and measurement, the collected data being converted to regul...
Year
DOI
Venue
2021
10.1109/CISS50987.2021.9400241
2021 55th Annual Conference on Information Sciences and Systems (CISS)
Keywords
DocType
ISBN
Training,Supervised learning,Telecommunication traffic,Feature extraction,Floods,Anomaly detection,Next generation networking
Conference
978-1-6654-1268-1
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Yuwei Sun122.78
Hideya Ochiai233.13
Hiroshi Esaki311.04