Doing cybersecurity at home: A human-centred approach for mitigating attacks in AI-enabled home devices

Asimina Vasalou*, Laura Benton, Ana Serta, Andrea Gauthier, Ceylan Basevli, Sarah Turner, Rea Gill, Rachael Payler, Etienne Roesch, Kevin McAreavey, Kim Bauters, Weiru Liu, Hsueh-Ju Chen, Dennis Ivory, Manos Panaousis, Georgios Loukas

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

AI-enabled devices are increasingly introduced in the home context and cyber-attacks targeting their AI component are becoming more frequent. Moving away from seeing the user as the problem to recognising the user as part of the solution, our research reports on a novel cybersecurity intervention (comprising Explainable AI features, assisted remediation) designed to support users to identify, diagnose and mitigate cyber-attacks on the AI component of their smart devices. We carried out a case study of a bespoke smart heating device inclusive of this intervention and conducted fieldwork with ten households who experienced simulated integrity cyber-attacks over a month. Our research contributes an understanding of how to design AI-enabled devices and their ecosystems to support users to perceive integrity cyber-attacks, offering new considerations for intervention design that exploits multimodal indicators and supports users to troubleshoot themselves the causes as well as actions of cyber-attacks. Contributing to the growing area of human-centred cybersecurity, we evidence the distinctive challenges users face when evaluating integrity attacks on the AI component in the home context.
Original languageEnglish
Article number104112
Number of pages19
JournalComputers & Security
Volume148
Early online date19 Sept 2024
DOIs
Publication statusPublished - 1 Jan 2025

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© 2024 The Author(s).

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