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Personal data management with the databox: What's inside the box?

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Zhao, J 
Crowcroft, Jonathon  ORCID logo  https://orcid.org/0000-0002-7013-0121
Wang, L 
Li, Q 

Abstract

We are all increasingly the subjects of data collection and processing systems that use data generated both about and by us to provide and optimise a wide range of services. Means for others to collect and process data that concerns each of us -- often referred to possessively as "your data" -- are only increasing with the long-heralded advent of the Internet of Things just the latest example. As a result, means to enable personal data management is generally recognised as a pressing societal issue.

We have previously proposed that one such means might be realised by the Databox, a collection of physical and cloud-hosted software components that provide for an individual data subject to manage, log and audit access to their data by other parties. In this paper we elaborate on this proposal, describing the software architecture we are developing, and the current status of a prototype implementation. We conclude with a brief discussion of Databox's limitations.

Description

Keywords

4606 Distributed Computing and Systems Software, 46 Information and Computing Sciences, Generic health relevance

Journal Title

CAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016

Conference Name

CoNEXT '16: The 12th International Conference on emerging Networking EXperiments and Technologies

Journal ISSN

Volume Title

Publisher

ACM

Rights

All rights reserved
Sponsorship
EPSRC (via Queen Mary University of London (QMUL)) (ECSA1W3R)
Engineering and Physical Sciences Research Council (EP/N028422/1)
Engineering and Physical Sciences Research Council (EP/M02315X/1)
Engineering and Physical Sciences Research Council (EP/N028260/1)