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chownIoT: Enhancing IoT Privacy by Automated Handling of Ownership Change
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0001-6934-0378
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0001-5742-5462
2018 (English)In: Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data, 2018, Vol. 547, p. 205-221Conference paper, Published paper (Refereed)
Abstract [en]

Considering the increasing deployment of smart home IoT devices, their ownership is likely to change during their life-cycle. IoT devices, especially those used in smart home environments, contain privacy-sensitive user data, and any ownership change of such devices can result in privacy leaks. The problem arises when users are either not aware of the need to reset/reformat the device to remove any personal data, or not trained in doing it correctly as it can be unclear what data is kept where. In addition, if the ownership change is due to theft or loss, then there is no opportunity to reset. Although there has been a lot of research on security and privacy of IoT and smart home devices, to the best of our knowledge, there is no prior work specifically on automatically securing ownership changes. We present a system called for securely handling ownership change of IoT devices. combines authentication (of both users and their smartphone), profile management, data protection by encryption, and automatic inference of ownership change. For the latter, we use a simple technique that leverages the context of a device. Finally, as a proof of concept, we develop a prototype that implements inferring ownership change from changes in the WiFi SSID. The performance evaluation of the prototype shows that has minimal overhead and is compatible with the dominant IoT boards on the market.

Place, publisher, year, edition, pages
2018. Vol. 547, p. 205-221
Keywords [en]
Ownership, Privacy, Smart home, IoT
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-267328DOI: 10.1007/978-3-030-16744-8_14ISBN: 978-3-030-16743-1 (print)ISBN: 978-3-030-16744-8 (electronic)OAI: oai:DiVA.org:kth-267328DiVA, id: diva2:1392237
Conference
IFIP International Summer School on Privacy and Identity Management 2018
Available from: 2020-02-06 Created: 2020-02-06 Last updated: 2020-02-06

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Buchegger, Sonja

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