An Enhanced Extreme Learning Machine With Ridge Regression for Network Traffic Classification in Software-defined Networking

Key Points

• Classification algorithms enhance network traffic analysis, indicating a need for advanced methods.
• An enhanced extreme learning machine improved accuracy for various traffic types, achieving 92% performance.
• Utilizing ridge regression minimizes overfitting while classifying traffic patterns within large datasets.
• This approach supports more effective network management, highlighting its potential in real-world applications.