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Explore a groundbreaking IEEE conference talk that unveils a robust de-anonymization technique for Bluetooth Classic devices. Delve into the analysis of Bluetooth Classic design, uncovering vulnerabilities in its privacy guarantees. Learn about the development of a Software-defined Radio (SDR) based sniffer capable of full Bluetooth spectrum analysis and implementing the proposed de-anonymization method. Examine the feasibility of privacy attacks through multiple testbeds, considering various factors such as device numbers, traffic regimes, and communication ranges. Discover how Bluetooth Classic devices can be tracked up to 85 meters away, with high identification accuracy achieved within seconds. Gain insights into real-world applications of this privacy attack through a study conducted at a road junction, revealing the potential to re-identify hundreds of users and infer their commuting patterns.