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Threat detection in smart homes: a sociotechnical multimodal conversational approach for improved cyber situational awareness.

McDermott, Christopher D.; Nicho, Mathew

Authors

Mathew Nicho



Abstract

Smart homes are becoming increasingly more complex and difficult to defend. Expanding Internet of Things (IoT) devices has reshaped socio-technical interactions within smart homes, yet security remains a secondary concern. In addition, users have been shown to lack awareness of potential vulnerabilities, leaving smart homes susceptible to attacks. This paper explores how humans can interact with conversational agents (CAs) to improve their awareness and detection of threats in smart homes. Utilising Endsley's situational awareness model, this research examines how users perceive, comprehend, and project knowledge of their surroundings to identify security threats when interacting with CAs through a multimodal framework. A mixed-methods study combining quantitative pre-test/post-test analysis with qualitative evaluations revealed that CAs significantly enhanced threat detection accuracy, efficiency, and user confidence across all dimensions of situational awareness when using a multi-modal approach.

Citation

MCDERMOTT, C.D. and NICHO, M. 2025. Threat detection in smart homes: a sociotechnical multimodal conversational approach for improved cyber situational awareness. International journal of information security [online], 24, article number 173. Available from: https://doi.org/10.1007/s10207-025-01051-x

Journal Article Type Article
Acceptance Date May 20, 2025
Online Publication Date Jul 11, 2025
Publication Date Jul 11, 2025
Deposit Date Jul 25, 2025
Publicly Available Date Jul 25, 2025
Journal International journal of information security
Print ISSN 1615-5262
Electronic ISSN 1615-5270
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 24
Article Number 173
DOI https://doi.org/10.1007/s10207-025-01051-x
Keywords Intrusion detection; Sociotechnical; Cyber situational awareness; Iot; Smart homes; Chatbot; Conversational agents; Multi-modal
Public URL https://rgu-repository.worktribe.com/output/2842640
Related Public URLs https://rgu-repository.worktribe.com/output/2935209 (Supplementary material associated with journal article)

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