Traffic analysis for 5G network slice based on machine learning

EURASIP Journal on Wireless Communications and Networking

Feng Xie¹  Dongxue Wei¹  Zhencheng Wang² 

[1] School of Artificial Intelligence, Nanning College for Vocational Technology;School of Computer, Electronics and Information, Guangxi University;

关键词: 5G;    Network slice;    Machine learning;    Traffic analysis;   

DOI  :  10.1186/s13638-021-01991-7

来源: DOAJ

【 摘 要 】

Abstract With the rise of 5G and Internet of things, especially the key technology of 5G, network slice cuts a physical network into multiple virtual end-to-end networks, each of them can obtain logically independent network resources to support richer services. 5G mobile data and sensor data converge to form a growing network traffic. Traffic explosion evolved into a mixed network type, and network viruses, worms, network theft and malicious attacks are also involved. How to distinguish traffic types, block malicious traffic and make effective use of sensor data under the background of 5G network slice, and also the significance of this study.

【 授权许可】

Unknown