Due to manufacturing defects in the equipment, the Bluetooth signal of a specific device has a unique
Researchers explain that all wirelessdevices have small unique hardware manufacturing defects. This is a side effect of the manufacturing process. Hardware imperfections lead to unique signal distortions that can be used as smartphone fingerprints.
Previous studies have shown that suchtrace generates a WiFi signal. To identify it, a long sequence called the preamble is used. This method, as noted by the authors of the work, is not suitable for identifying a Bluetooth signal: it has a too short preamble.
Instead, the researchers developed a newa method that parses the entire Bluetooth signal. The created algorithm uses two signal parameters: carrier frequency offset and signal I/Q offset. As a result, the program determines the device with high accuracy.
This is important because in today's worldBluetooth is a bigger threat than WiFi as it is a popular and continuous wireless signal emitted by all of our personal mobile devices.
Nishant Bhaskar, study co-author
In a series of experiments, programmers tested theirtracking method. Using the algorithm, the researchers uniquely identified 47% of 647 mobile devices of visitors to a public corridor on a university campus. After that, the developers staged a real “surveillance”: sensors installed near the doors recorded information about the time of arrival and departure of the volunteer from the house.
Scientists are now working on a technology that will hide Bluetooth's "fingerprints" using digital signal processing in the device's firmware.
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