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Sustaining the High Performance of AI-Based Network Traffic Classification Models

Network traffic classification plays an essential role in network measurement and management. Emerging Artificial Intelligence (AI) algorithms have become a viable solution to encrypted network traffic classification. Nonetheless, the classification …

Network traffic clustering with QoS-awareness

Network traffic classification is essential in supporting network measurement and management. Many existing traffic classification approaches provide application-level results regardless of the network quality of service (QoS) requirements. In …

A Machine Learning Approach to Modulation Detection in Wireless Communications

Autonomous Modulation Detection (AMD) in the presence of unknown channel conditions is critical in spectrum sensing and channel estimation. Existing works achieve AMD by processing raw spectrum measurement data. However, such approaches are …

Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways

Network measurement and management are critical to the future smart network QoS and enhancing user QoE. Accurate prediction of network status can support network measurement and provide extra time for network management. However, it is challenging to …