Building accountability into the Internet of Things: the IoT Databox model

Crabtree, Andy; Lodge, Tom; Colley, James; Greenhalgh, Chris; Glover, Kevin; Haddadi, Hamed; Amar, Yousef; Mortier, Richard; Li, Qi; Moore, John; Wang, Liang; Yadav, Poonam; Zhao, Jianxin; Brown, Anthony; Urquhart, Lachlan; McAuley, Derek

Abstract

© 2018, The Author(s). This paper outlines the IoT Databox model as a means of making the Internet of Things (IoT) accountable to individuals. Accountability is a key to building consumer trust and is mandated by the European Union’s general data protection regulation (GDPR). We focus here on the ‘external’ data subject accountability requirement specified by GDPR and how meeting this requirement turns on surfacing the invisible actions and interactions of connected devices and the social arrangements in which they are embedded. The IoT Databox model is proposed as an in principle means of enabling accountability and providing individuals with the mechanisms needed to build trust into the IoT.

Citation

Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., Glover, K., Haddadi, H., …McAuley, D. (2018). Building accountability into the Internet of Things: the IoT Databox model. Journal of Reliable Intelligent Environments, 4(1), 39-55. https://doi.org/10.1007/s40860-018-0054-5

• Journal Article Type: Article
• Acceptance Date: Jan 12, 2018
• Online Publication Date: Jan 27, 2018
• Publication Date: 2018-04
• Deposit Date: Jan 18, 2018
• Publicly Available Date: Jan 27, 2018
• Journal: Journal of Reliable Intelligent Environments
• Electronic ISSN: 2199-4676
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 4
• Issue: 1
• Pages: 39-55
• DOI: https://doi.org/10.1007/s40860-018-0054-5
• Keywords: GDPR; accountability; Internet of Things (IoT); IoT Databox
• Public URL: https://nottingham-repository.worktribe.com/output/907318
• Publisher URL: https://link.springer.com/article/10.1007%2Fs40860-018-0054-5