Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G-Reference-Cited by-同舟云学术

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Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Mekrache Abdelkader¹,Boutiba Karim¹,Ksentini Adlen¹

Affiliation:

1. EURECOM, Sophia,Antipolis,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436766.pdf?arnumber=10436766

Reference15 articles.

1. A multi-source dataset of urban life in the city of Milan and the Province of Trentino

2. The OpenAirInterface 5G new radio implementation: Current status and roadmap;Kaltenberger

3. 3GPP,2023

4. 3GPP

5. An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GAN-Based Drift and Anomaly Detection for Open Radio Access Networks;2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR);2024-07-22

2. Real-Time Monitoring of 5G Networks: An NWDAF and ML Based KPI Prediction;2024 IEEE 10th International Conference on Network Softwarization (NetSoft);2024-06-24

3. Enhancing Network Data Analytics Functions: Integrating AIaaS with ML Model Provisioning;2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet);2024-06-11

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