A Database for the Radio Frequency Fingerprinting of Bluetooth Devices

Creative Commons License

Uzundurukan E., Dalveren Y., Kara A.

DATA, vol.5, no.2, 2020 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 2
  • Publication Date: 2020
  • Doi Number: 10.3390/data5020055
  • Journal Name: DATA
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Keywords: Bluetooth, classification, data acquisition, emitter identification, radio frequency fingerprinting, RF front end
  • Gazi University Affiliated: No


Radio frequency fingerprinting (RFF) is a promising physical layer protection technique which can be used to defend wireless networks from malicious attacks. It is based on the use of the distinctive features of the physical waveforms (signals) transmitted from wireless devices in order to classify authorized users. The most important requirement to develop an RFF method is the existence of a precise, robust, and extensive database of the emitted signals. In this context, this paper introduces a database consisting of Bluetooth (BT) signals collected at different sampling rates from 27 different smartphones (six manufacturers with several models for each). Firstly, the data acquisition system to create the database is described in detail. Then, the two well-known methods based on transient BT signals are experimentally tested by using the provided data to check their solidity. The results show that the created database may be useful for many researchers working on the development of the RFF of BT devices.