A Case Study Exploring Side-Channel Attacks On Pet Wearables

Alla Levina, Vladimir Varyukhin, Dmitry Kaplun, Anna Zamansky, Dirk van der Linden

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article numberIJCS_48_4_04
JournalIAENG International Journal of Computer Science
Issue number4
StatePublished - 2021

Bibliographical note

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.

Funding Information:
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).

Publisher Copyright:
© 2021. IAENG International Journal of Computer Science. All Rights Reserved.


  • Base64 encoding algorithm
  • Bluetooth
  • Electromagnetic attack
  • Pet wearables
  • Side-channel attack
  • Traces

ASJC Scopus subject areas

  • Computer Science (all)


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