Abstract | ||
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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 Sun | 1 | 2 | 2.78 |
Hideya Ochiai | 2 | 3 | 3.13 |
Hiroshi Esaki | 3 | 1 | 1.04 |