Accessibility navigation


A taxonomy of cyber-physical threats and impact in the smart home

Heartfield, R., Loukas, G., Budimir, S., Bezemskij, A., Fontaine, J. R. J., Filippoupolitis, A. and Roesch, E. (2018) A taxonomy of cyber-physical threats and impact in the smart home. Computers and Security, 78. pp. 398-428. ISSN 0167-4048

[img] Text - Accepted Version
· Restricted to Repository staff only until 2 August 2019.
· Available under License Creative Commons Attribution Non-commercial No Derivatives.

4MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.cose.2018.07.011

Abstract/Summary

In the past, home automation was a small market for technology enthusiasts. Interconnectivity between devices was down to the owner's technical skills and creativity, while security was non-existent or primitive, because cyber threats were also largely non-existent or primitive. This is not the case any more. The adoption of Internet of Things technologies, cloud computing, artificial intelligence and an increasingly wide range of sensing and actuation capabilities has led to smart homes that are more practical, but also genuinely attractive targets for cyber attacks. Here, we classify applicable cyber threats according to a novel taxonomy, focusing not only on the attack vectors that can be used, but also the potential impact on the systems and ultimately on the occupants and their domestic life. Utilising the taxonomy, we classify twenty five different smart home attacks, providing further examples of legitimate, yet vulnerable smart home configurations which can lead to second-order attack vectors. We then review existing smart home defence mechanisms and discuss open research problems.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Centre for Integrative Neuroscience and Neurodynamics (CINN)
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Neuroscience
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Perception and Action
ID Code:78280
Publisher:Elsevier

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation