A Case Study Exploring Side-Channel Attacks On Pet Wearables

Levina, A., Varyukhin, V., Kaplun, D., Zamansky, A. and van der Linden, Dirk (2021) A Case Study Exploring Side-Channel Attacks On Pet Wearables. IAENG International Journal of Computer Science, 48 (4). pp. 878-883. ISSN 1819-656X

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Official URL: http://www.iaeng.org/IJCS/issues_v48/issue_4/

Abstract

IoT has long since come to the pet industry resulting in a proliferation of data-intensive devices including tracking anything from activity, health, to location. The resulting ‘Internet of Pets’ is generating large volumes of animal data which, due to the close link between the digital profile of companion animals held as pets (e.g., cats and dogs) and their caregivers holds significant security and privacy implications. In this case study we explore the vulnerability of such pet wearables to side-channel attacks, describing our implementation of an electromagnetic attack on a now discontinued dog activity tracker. We show how we were able to successfully exfiltrate data from the device during the Base64 encoding process and discuss what implications this holds for the security of these devices, given the lack of protection that animal data is afforded under extant existing data protection policy and legislation.

Item Type: Article
Additional Information: Funding Information: The work of D. Kaplun and A. Zamansky was supported by a grant from the Ministry of Science and Technology of Israel and RFBR according to the research project no. 19-57-06007. The work of A. Levina and V. Varyukhin was supported by the Ministry of Science and Higher Education of the Russian Federation (Project ‘Goszadanie’ №075-01024-21-02 from 29.09.2021).
Uncontrolled Keywords: Pet wearables, Side-Channel Attack, Electromagnetic Attack, Base64 encoding algorithm, Bluetooth, Traces
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 07 Feb 2022 10:06
Last Modified: 07 Feb 2022 10:15
URI: http://nrl.northumbria.ac.uk/id/eprint/48375

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