Achieving Robust Performance for Traffic Classification Using Ensemble Learning in SDN Networks-Reference-Cited by-同舟云学术

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Achieving Robust Performance for Traffic Classification Using Ensemble Learning in SDN Networks

Published:2021-06 Issue: Volume: Page:
ISSN:
Container-title:ICC 2021 - IEEE International Conference on Communications
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Author:

Yang Ting,Vural Serdar,Qian Peng,Rahulan Yogaratnam,Wang Ning,Tafazolli Rahim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9500243/9500244/09500571.pdf?arnumber=9500571

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. P4SQA: A P4 Switch-Based QoS Assurance Mechanism for SDN;IEEE Transactions on Network and Service Management;2023-12

3. The Search for Solid Ground in Text as Data: A Systematic Review of Validation Practices and Practical Recommendations for Validation;Communication Methods and Measures;2023-11-27

4. AI/ML-based real-time classification of Software Defined Networking traffic;Proceedings of the 18th International Conference on Availability, Reliability and Security;2023-08-29

5. Advanced LiDAR Translation for Huge Domain Gap to Handle Adverse Weather Change;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

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