Skip to main content

Research Repository

Advanced Search

Accountable Internet of things?: outline of the IoT Databox model

Crabtree, Andy; Lodge, Tom; Colley, James; Greenhalgh, Chris; Mortier, Richard

Accountable Internet of things?: outline of the IoT Databox model Thumbnail


Authors

Tom Lodge

James Colley

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

Files





You might also like



Downloadable Citations