Professor ANDY CRABTREE ANDY.CRABTREE@NOTTINGHAM.AC.UK
Professor of Computer Science
Accountable Internet of things?: outline of the IoT Databox model
Crabtree, Andy; Lodge, Tom; Colley, James; Greenhalgh, Chris; Mortier, Richard
Authors
Tom Lodge
James Colley
CHRIS GREENHALGH CHRIS.GREENHALGH@NOTTINGHAM.AC.UK
Professor of Computer Science
Richard Mortier
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 mandated in data protection legislation. We briefly outline the ‘external’ data subject accountability requirement specified in actual legislation in Europe and proposed legislation in the US, and how meeting requirement this 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 in the IoT.
Citation
Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., & Mortier, R. (2017). Accountable Internet of things?: outline of the IoT Databox model.
Conference Name | Sixth IEEE WoWMoM Workshop on the Internet of Things: Smart Objects and Services (IoT-SoS 2017) |
---|---|
Acceptance Date | Apr 15, 2017 |
Online Publication Date | Jul 13, 2017 |
Publication Date | Jun 12, 2017 |
Deposit Date | Apr 26, 2017 |
Publicly Available Date | Jun 12, 2017 |
Peer Reviewed | Peer Reviewed |
Keywords | Internet of things (IoT), Trust, Accountability, IoT databox |
Public URL | https://nottingham-repository.worktribe.com/output/865442 |
Publisher URL | http://ieeexplore.ieee.org/document/7974335/ |
Related Public URLs | http://wowmom2017.eecs.qmul.ac.uk/ |
Additional Information | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Published in conference proceedings with ISBN 9781538627228 |
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