Bluetooth Device Identification Using RF Fingerprinting and Jensen-Shannon Divergence

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 5; p. 1482
• Main Authors: Santana-Cruz, Rene Francisco, Moreno-Guzman, Martin, Rojas-López, César Enrique, Vázquez-Morán, Ricardo, Vázquez-Medina, Rubén
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 24.02.2024; MDPI
• Subjects: Accuracy; Analysis; Bluetooth technology; Case studies; Classification; cybersecurity; Data encryption chips; Identification; identification systems; Internet; IoT device identification; Machine learning; Measurement techniques; Methods; Neural networks; radio frequency fingerprints (RFF); Receivers & amplifiers; Safety and security measures; Signal processing; Smart phones; Transmitters; wireless communication; Wireless communications; identification systems; radio frequency fingerprints (RFF); cybersecurity; IoT device identification; wireless communication

The proliferation of radio frequency (RF) devices in contemporary society, especially in the fields of smart homes, Internet of Things (IoT) gadgets, and smartphones, underscores the urgent need for robust identification methods to strengthen cybersecurity. This paper delves into the realms of RF fi...