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

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

doi:10.1007/s40860-018-0054-5

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

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

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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.

Original language	English
Pages (from-to)	39-55
Number of pages	17
Journal	Journal of Reliable Intelligent Environments
Volume	4
Issue number	1
DOIs	https://doi.org/10.1007/s40860-018-0054-5
Publication status	Published - 27 Jan 2018

Keywords / Materials (for Non-textual outputs)

GDPR
accountability
Internet of Things
IoT
IoT databox

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CrabtreeEtalJRIE2018BuildingAccountabilityIntoTheInternetOfThingsFinal published version, 1.91 MBLicence: Creative Commons: Attribution (CC-BY)

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Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., Glover, K., Haddadi, H., Amar, Y., Mortier, R., Li, Q., Moore, J., Wang, L., Yadav, P., Zhao, J., Brown, A., Urquhart, L., & 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

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title = "Building accountability into the Internet of Things: The IoT Databox model",

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{\textquoteright}s general data protection regulation (GDPR). We focus here on the {\textquoteleft}external{\textquoteright} 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.",

keywords = "GDPR, accountability, Internet of Things, IoT, IoT databox",

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

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doi = "10.1007/s40860-018-0054-5",

language = "English",

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Crabtree, A, Lodge, T, Colley, J, Greenhalgh, C, Glover, K, Haddadi, H, Amar, Y, Mortier, R, Li, Q, Moore, J, Wang, L, Yadav, P, Zhao, J, Brown, A, Urquhart, L & McAuley, D 2018, 'Building accountability into the Internet of Things: The IoT Databox model', Journal of Reliable Intelligent Environments, vol. 4, no. 1, pp. 39-55. https://doi.org/10.1007/s40860-018-0054-5

TY - JOUR

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T2 - The IoT Databox model

AU - Crabtree, Andy

AU - Lodge, Tom

AU - Colley, James

AU - Greenhalgh, Chris

AU - Glover, Kevin

AU - Haddadi, Hamed

AU - Amar, Yousef

AU - Mortier, Richard

AU - Li, Qi

AU - Moore, John

AU - Wang, Liang

AU - Yadav, Poonam

AU - Zhao, Jianxin

AU - Brown, Anthony

AU - Urquhart, Lachlan

AU - McAuley, Derek

PY - 2018/1/27

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N2 - 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.

AB - 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.

KW - GDPR

KW - accountability

KW - Internet of Things

KW - IoT

KW - IoT databox

UR - http://eprints.nottingham.ac.uk/49173/

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DO - 10.1007/s40860-018-0054-5

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JO - Journal of Reliable Intelligent Environments

JF - Journal of Reliable Intelligent Environments

IS - 1

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

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