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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書目詳細資料

Principais autores:	Janggoon Lee, Chanhee Park, Heejun Roh
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2021-02-01
叢編:	Energies
主題:	bluetooth frequency hopping adaptive frequency hopping spectrum sensing wireless security
在線閱讀:	https://www.mdpi.com/1996-1073/14/4/928
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