AI/ML-based real-time classification of Software Defined Networking traffic
Author:
Affiliation:
1. Telecommunication Department, University Politehnica of Bucharest, Romania and R&D Department, Beam Innovation SRL, Romania
2. University Politehnica of Bucharest, Romania
Funder
Norway Grants
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3600160.3605078
Reference8 articles.
1. Network Traffic Classification Using Ensemble Learning in Software-Defined Networks
2. Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN
3. John Mueller and Luca Massaron . 2021. Machine learning . John Wiley & Sons , Hoboken, New Jersey. John Mueller and Luca Massaron. 2021. Machine learning. John Wiley & Sons, Hoboken, New Jersey.
4. Data Traffic Classification in Software Defined Networks (SDN) using supervised-learning
5. Identification and Selection of Flow Features for Accurate Traffic Classification in SDN
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1. FAST: AI-based Network Traffic Analysis and Load Balancing Framework Underlying SDN Clusters;2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT);2024-05-14
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