Detecting Network Anomalies in NetFlow Traffic with Machine Learning Algorithms
Author:
Affiliation:
1. Université Paris Cité,Centre Borelli UMR 9010,Paris,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10639609/10639616/10639619.pdf?arnumber=10639619
Reference13 articles.
1. Cyber threats to critical infrastructure: Assessing vulnerabilities across key sectors;George;Partners Universal International Innovation Journal,2024
2. Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey
3. Anomaly detection in NetFlow network traffic using supervised machine learning algorithms
4. Performance of Machine Learning Techniques in Anomaly Detection with Basic Feature Selection Strategy - A Network Intrusion Detection System
5. Anomaly detection using ensemble random forest in wireless sensor network
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