5G NETWORK TRAFFIC CLASSIFICATION SYSTEM USING STACKING MACHINE LEARNING BASED ON NETWORK MONITORING TOOLS DATA

• Main Author: Rugayyah Alhaddad, Syamira
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/82147
• Institution: Institut Teknologi Bandung

The 5G network requires a traffic management system capable of accurately classifying various types of application and service traffic. Protocol behavior- based classification systems often fail to handle this complexity, resulting in decreased network performance and a subpar user experience...