When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

The exponential growth of Internet connected systems has generated numerous challenges, such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions. Complicated and dynamic SS systems can be exposed to different potential security and privacy issues, requiring protectio...

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Bibliographic Details
Main Authors: Qun Wang, Haijian Sun, Rose Qingyang Hu, Arupjyoti Bhuyan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Spectrum sharing
machine learning
security
CRN
LTE-U
SSDF
Online Access:https://ieeexplore.ieee.org/document/9693972/

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