5G NETWORK TRAFFIC CLASSIFICATION SYSTEM USING STACKING MACHINE LEARNING BASED ON NETWORK MONITORING TOOLS DATA
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...
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Main Author: | Rugayyah Alhaddad, Syamira |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/82147 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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