This paper presents the design and implementation of a low-power privacy-preserving device tracking system based on Internet of Things (IOT) technology. The system consists of low-power nodes and a set of dedicated beacons. Each tracking node broadcasts pseudonyms and encrypted versions of observed beacon identifiers over a Low-Power Wide-Area Network (LPWAN). Unlike most commercial systems, our solution ensures that the device owners are the only ones who can locate their devices. We present a detailed design and validate the result with a prototype implementation that considers power and energy consumption as well as side-channel attacks. Our implementation uses Physically Unclonable Function (PUF) technology for secure key-storage in an innovative way. We build and evaluate a complete demonstrator with off-the-shelf IoT nodes, Bluetooth Low Energy (BLE) beacons, and LoRa long distance communication (LPWAN). We validate the setup for a bicycle tracking application and also estimate the requirements for a low-cost ASIC node.
CITATION STYLE
Ashur, T., Delvaux, J., Lee, S., Maene, P., Marin, E., Nikova, S., … Preneel, B. (2018). A privacy-preserving device tracking system using a low-power wide-area network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11261 LNCS, pp. 347–369). Springer Verlag. https://doi.org/10.1007/978-3-030-02641-7_16
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