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HarvestPrint: Securing Battery-free Backscatter Tags through Fingerprinting
KTH, School of Electrical Engineering and Computer Science (EECS). Ericsson Research, Stockholm..
KTH, School of Electrical Engineering and Computer Science (EECS). University of California, Berkeley.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering. KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS. KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.ORCID iD: 0000-0002-3267-5374
2021 (English)In: HotNets 2021 - Proceedings of the 20th ACM Workshop on Hot Topics in Networks, Association for Computing Machinery (ACM) , 2021, p. 178-184Conference paper, Published paper (Refereed)
Abstract [en]

Backscatter enables wireless transmissions at dramatically lower power compared to mainstream Internet of Things (IoT) transmitters. This significantly improves battery life or even eliminates the need of batteries for backscatter-based 'tags' operating on energy harvested from the environment. However, trading off complexity for low power consumption exposing backscatter tags to a multitude of security risks. A significant challenge is imposter tags that mimic legitimate tag behaviour, compromising the system data integrity. In this work, we argue that tag simplicity and operation on harvested energy can help identify imposter transmissions, thus safeguarding data integrity. Our experimental study reveals that commonly used low-power tag oscillators demonstrate unique fingerprint patterns when exposed to the dynamics of harvested energy. Based on this observation, we design and propose HarvestPrint, which leverages these fingerprints to differentiate authentic backscatter transmissions from imposter transmissions. Experiments with a tag powered through a small solar cell show the potential of HarvestPrint.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2021. p. 178-184
Keywords [en]
Electric batteries, Internet of things, Transmissions, Battery life, Battery-free, Data integrity, Energy, Fingerprint pattern, Low Power, Low-power consumption, Lower-power consumption, Security risks, Wireless transmissions, Backscattering
National Category
Atom and Molecular Physics and Optics
Identifiers
URN: urn:nbn:se:kth:diva-313265DOI: 10.1145/3484266.3487388Scopus ID: 2-s2.0-85119403234OAI: oai:DiVA.org:kth-313265DiVA, id: diva2:1664273
Conference
HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, Virtual Event, United Kingdom, November 10-12, 2021.
Note

Part of proceedings: ISBN 978-1-4503-9087-3

QC 20220603

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2022-06-25Bibliographically approved

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Narayanan, RevathyVarshney, AmbujPapadimitratos, Panagiotis

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Narayanan, RevathyVarshney, AmbujPapadimitratos, Panagiotis
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School of Electrical Engineering and Computer Science (EECS)Network and Systems EngineeringCommunication Systems, CoSSoftware and Computer systems, SCS
Atom and Molecular Physics and Optics

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