Revisiting Adaptive Frequency Hopping Map Prediction in Bluetooth with Machine Learning Classifiers

Revisiting Adaptive Frequency Hopping Map Prediction in Bluetooth with Machine Learning Classifiers

Thanks to the frequency hopping nature of Bluetooth, sniffing Bluetooth traffic with low-cost devices has been considered as a challenging problem. To this end, BlueEar, a state-of-the-art low-cost sniffing system with two Bluetooth radios proposes a set of novel machine learning-based subchannel cl...

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Bibliographic Details
Main Authors: Janggoon Lee, Chanhee Park, Heejun Roh
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
bluetooth
frequency hopping
adaptive frequency hopping
spectrum sensing
wireless security
Online Access:https://www.mdpi.com/1996-1073/14/4/928

Internet

https://www.mdpi.com/1996-1073/14/4/928

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