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

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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書目詳細資料
主要作者:	Rugayyah Alhaddad, Syamira
格式:	Final Project
語言:	Indonesia
在線閱讀:	https://digilib.itb.ac.id/gdl/view/82147
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Institut Teknologi Bandung
語言:	Indonesia

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