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

Crabtree, Andy and Lodge, Tom and Colley, James and Greenhalgh, Chris and Glover, Kevin and Haddadi, Hamed and Amar, Yousef and Mortier, Richard and Li, Qi and Moore, John and Wang, Liang and Yadav, Poonam and Zhao, Jianxin and Brown, Anthony and Urquhart, Lachlan and McAuley, Derek (2018) Building accountability into the Internet of Things: the IoT Databox model. Journal of Reliable Intelligent Environments, 4 (1). pp. 39-55. ISSN 2199-4676

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Abstract

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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/907318
Keywords: GDPR; accountability; Internet of Things (IoT); IoT Databox
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1007/s40860-018-0054-5
Depositing User: Eprints, Support
Date Deposited: 18 Jan 2018 12:00
Last Modified: 04 May 2020 19:28
URI: http://eprints.nottingham.ac.uk/id/eprint/49173

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