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When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
[article]
2022
arXiv
pre-print
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 protection mechanisms to be adaptive, reliable, and scalable. Machine learning (ML) based methods have frequently been proposed to address those issues. In this article, we provide a comprehensive survey of
arXiv:2201.04677v1
fatcat:gb73bku37fatncamax67buwkea