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| Title | Ensemble Learning For Network Data Classification With Sdn Clustering Underlying Smart Power Grid-Enabled Smart Cities |
|---|---|
| ID_Doc | 24112 |
| Authors | Patel M.; Jain N.; Patel J.; Ramoliya F.; Gupta R.; Tanwar S. |
| Year | 2024 |
| Published | Proceedings of the 3rd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2024 |
| DOI | http://dx.doi.org/10.1109/ICPEICES62430.2024.10719285 |
| Abstract | Smart power grid enables smart city to be operated on efficient level for sustainable urban planning, economic growth and become an innovation hub. Various types of energy user or provider plants can contribute to providing services while integrated with physical sensor devices, modules, and software interfaces for efficient communication and control. These integrated software interfaces and computer devices also help us during response for any catastrophic condition, fault detection-diagnosis, remote operation-maintenance, integration with Supervisory Control and Data Acquisition (SCADA) systems and provide robust cyber security measures. Software defined network (SDN) allows us to have traffic prioritization, traffic engineering and load balancing, Quality of Service (QoS) enforcement and logical segmentation. However, relying on a single SDN entity to handle all network traffic can introduce several challenges such as single point of failure, scalability limitation, limited redundancy, increased complexity and management overhead and delay in serving of highly critical requests during high-load condition. To mitigate this paramount concern, we propose Ensemble Learning (EL)-based network traffic classification approach with clustering of SDNs to carry-out tasks in efficient and effective manner. The performance evaluation of proposed approach has been done through various performance metrics such as receiver operating characteristic (ROC) curve, precision, recall, f'1-score, PR curve and confusion matrix. © 2024 IEEE. |
| Author Keywords | Clustering of SDN; EL; Industrial Control System; SDN; Smart grids |
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