Vasalou, Asimina, Benton, Laura, Serta, Ana, Gauthier, Andrea, Besevli, Ceylan, Gill, Rea, Payler, Rachael, Roesch, Etienne, McAreavey, Kevin, Bauters, Kim, Chen, Hsueh-Ju, Ivory, Dennis, Panaousis, Emmanouil ORCID: https://orcid.org/0000-0001-7306-4062 and Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182 (2024) Doing cybersecurity at home: a human-centred approach for mitigating attacks in AI-enabled home devices. Computers and Security, 148:104112. ISSN 0167-4048 (doi:10.1016/j.cose.2024.104112)

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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.

Item Type:	Article
Uncontrolled Keywords:	artificial intelligence, cyber security, AI safety, Internet of Things, smart homes, cyber hygiene
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	03 Oct 2024 13:13
URI:	http://gala.gre.ac.uk/id/eprint/48016

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