Abstract
With the development of the 5G and Internet of things (IoT) applications, which lead to an enormous amount of data, the need for efficient data-driven algorithms has become crucial. Security concerns are therefore expected to be raised using state-of-the-art information technology (IT) as data may be vulnerable to remote attacks. As a result, this paper provides a high-level overview of machine-learning use-cases for data-driven, maintaining security, or easing telecommunications operating processes. It emphasizes the importance of analyzing the role of machine learning in the telecommunications sector in terms of network operation.
Original language | English |
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Pages | 159-163 |
Publication status | Published (VoR) - 24 Feb 2021 |
Event | 2020 16th International Computer Engineering Conference (ICENCO) - Cairo, Egypt Duration: 29 Dec 2020 → 30 Dec 2020 |
Conference
Conference | 2020 16th International Computer Engineering Conference (ICENCO) |
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Country/Territory | Egypt |
City | Cairo |
Period | 29/12/20 → 30/12/20 |