A Privacy-Preserving Device Tracking System Using a Low-Power Wide-Area Network (LPWAN)

Autor: Svetla Nikova, Eduard Marin, Jeroen Delvaux, Bohan Yang, Oscar Reparaz, Sanghan Lee, Vladimir Rožić, Pieter Maene, Dave Singelée, Bart Preneel, Tomer Ashur
Přispěvatelé: Capkun, S, Chow, SSM
Rok vydání: 2017
Předmět:
Zdroj: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Cryptology and Network Security
Cryptology and Network Security-16th International Conference, CANS 2017, Hong Kong, China, November 30—December 2, 2017, Revised Selected Papers
Cryptology and Network Security ISBN: 9783030026400
CANS
ISSN: 0302-9743
1611-3349
Popis: © Springer Nature Switzerland AG 2018. 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. ispartof: pages:347-369 ispartof: Lecture Notes in Computer Science vol:11261 pages:347-369 ispartof: CANS 2017 location:HONG KONG, Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong date:30 Nov - 2 Dec 2017 status: accepted
Databáze: OpenAIRE