On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples

On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples

The use of artificial intelligence and machine learning is recognized as the key enabler for 5G mobile networks which would allow service providers to tackle the network complexity and ensure security, reliability and allocation of the necessary resources to their customers in a dynamic, robust and...

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Bibliographic Details
Main Authors: Mikhail Zolotukhin, Parsa Miraghaei, Di Zhang, Timo Hamalainen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
5G networks
adversarial machine learning
artificial intelligence
deep learning
Online Access:https://ieeexplore.ieee.org/document/9968009/

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