Community-Sourced Bluetooth Low Energy Device Fingerprinting Based on Link Layer Packets

Cybersecurity is a constantly developing field. Bluetooth Low Energy (BLE) is one of the most widely applicable low-power connectivity standards. The low cost, low power consumption, and ready availability of BLE modules have made them a popular wireless technology for Internet of Things (IoT) devices and power-constrained applications. However, the deployment of BLE-enabled devices enlarges the network attack surface. This research proposes a community-sourced BLE device fingerprinting solution, which aims to develop an efficient, accurate, and easy-to-implement solution for BLE device/beacon identification. Although this research is limited to the BLE protocol, it does introduce avenues for other connectivity standards such as Zig-bee and Bluetooth to adapt without much overhead.