The University of Southampton
University of Southampton Institutional Repository

Mechanisms for meaningful consent in internet of things

Mechanisms for meaningful consent in internet of things
Mechanisms for meaningful consent in internet of things

Consent is a key measure for privacy protection and needs to be ‘meaningful’ to give people informational power. It is increasingly important that individuals are provided with real choices and are empowered to negotiate for meaningful consent. Meaningful consent is an important area for consideration in IoT systems since privacy is a significant factor impacting on adoption of IoT. Obtaining meaningful consent is becoming increasingly challenging in IoT environments. It is proposed that an “apparency, pragmatic/semantic transparency model” adopted for data management could make consent more meaningful, that is, visible, controllable and understandable. The model has illustrated the why and what issues regarding data management for potential meaningful consent [1]. In this paper, we focus on the ‘how’ issue, i.e. how to implement the model in IoT systems. We discuss apparency by focusing on the interactions and data actions in the IoT system; pragmatic transparency by centring on the privacy risks, threats of data actions; and semantic transparency by focusing on the terms and language used by individuals and the experts. We believe that our discussion would elicit more research on the apparency model’ in IoT for meaningful consent.

Apparency, Data activities, Internet of things (IoT), Meaningful consent, Privacy protection, Transparency
Institution of Engineering and Technology
Wakenshaw, Susan Y.L.
eeda3d04-0fa0-40aa-a76f-e580dc0e9799
Maple, Carsten
556615cc-36a3-4c21-bf3f-c3c714038931
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f
Gomer, Richard
71c5969f-2da0-47ab-b2fb-a7e1d07836b1
Ghirardello, Kevin
e177b661-1598-41ef-ad37-67e33e5a2a5c
Wakenshaw, Susan Y.L.
eeda3d04-0fa0-40aa-a76f-e580dc0e9799
Maple, Carsten
556615cc-36a3-4c21-bf3f-c3c714038931
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f
Gomer, Richard
71c5969f-2da0-47ab-b2fb-a7e1d07836b1
Ghirardello, Kevin
e177b661-1598-41ef-ad37-67e33e5a2a5c

Wakenshaw, Susan Y.L., Maple, Carsten, schraefel, mc, Gomer, Richard and Ghirardello, Kevin (2018) Mechanisms for meaningful consent in internet of things. In IET Conference Publications. vol. 2018, Institution of Engineering and Technology..

Record type: Conference or Workshop Item (Paper)

Abstract

Consent is a key measure for privacy protection and needs to be ‘meaningful’ to give people informational power. It is increasingly important that individuals are provided with real choices and are empowered to negotiate for meaningful consent. Meaningful consent is an important area for consideration in IoT systems since privacy is a significant factor impacting on adoption of IoT. Obtaining meaningful consent is becoming increasingly challenging in IoT environments. It is proposed that an “apparency, pragmatic/semantic transparency model” adopted for data management could make consent more meaningful, that is, visible, controllable and understandable. The model has illustrated the why and what issues regarding data management for potential meaningful consent [1]. In this paper, we focus on the ‘how’ issue, i.e. how to implement the model in IoT systems. We discuss apparency by focusing on the interactions and data actions in the IoT system; pragmatic transparency by centring on the privacy risks, threats of data actions; and semantic transparency by focusing on the terms and language used by individuals and the experts. We believe that our discussion would elicit more research on the apparency model’ in IoT for meaningful consent.

Full text not available from this repository.

More information

Published date: 2018
Venue - Dates: Living in the Internet of Things: Cybersecurity of the IoT - 2018, London, United Kingdom, 2018-03-28 - 2018-03-29
Keywords: Apparency, Data activities, Internet of things (IoT), Meaningful consent, Privacy protection, Transparency

Identifiers

Local EPrints ID: 422984
URI: https://eprints.soton.ac.uk/id/eprint/422984
PURE UUID: 50bea82d-c1b3-4753-b166-abb5589cf831

Catalogue record

Date deposited: 09 Aug 2018 16:30
Last modified: 18 Dec 2018 17:31

Export record

Contributors

Author: Susan Y.L. Wakenshaw
Author: Carsten Maple
Author: mc schraefel
Author: Richard Gomer
Author: Kevin Ghirardello

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×