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

Autor: Poonam Yadav, Kevin Glover, Chris Greenhalgh, Liang Wang, Lachlan Urquhart, Tom Lodge, Yousef Amar, Hamed Haddadi, Jianxin Zhao, James Colley, Derek McAuley, Richard Mortier, Anthony Brown, John P. Moore, Andy Crabtree, Qi Li
Přispěvatelé: Crabtree, Andy [0000-0001-5553-6767], Apollo - University of Cambridge Repository
Rok vydání: 2018
Předmět:
Zdroj: Journal of Reliable Intelligent Environments
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
ISSN: 2199-4676
2199-4668
Popis: © 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.
Databáze: OpenAIRE