Professor Yasmin Merali Y.Merali@hull.ac.uk
Professor of Systems Thinking
Small fish in a big pond : an architectural approach to users privacy, rights and security in the age of big data
Merali, Yasmin; Angelopoulos, Spyros; McAuley, Derek; Mortier, Richard; Price, Dominic
Authors
Spyros Angelopoulos
Derek McAuley
Richard Mortier
Dominic Price
Abstract
Paper presented at 37th International conference on Information Systems (ICIS 2016), 11-14 December 2016, Dublin, Ireland. ABSTRACT We focus on the challenges and issues associated with Big Data, and propose a novel architecture that uses the principles of Separation of Concerns and distributed computing to overcome many of the challenges associated with storage, analysis and integrity. We address the issue of asymmetrical distribution of power between the originators of data and the organizations and institutions that make use of that data by taking a systemic perspective to include both sides in our architectural design, shifting from a customer-provider relationship to a more symbiotic one in which control over access to customer data resides with the customer. We illustrate the affordances of the proposed architecture by describing its application in the domain of Social Networking Sites, where we furnish a mechanism to address problems of privacy and identity, and create the potential to open up online social networking to a richer set of possible applications.
Citation
Merali, Y., Angelopoulos, S., McAuley, D., Mortier, R., & Price, D. (2016). Small fish in a big pond : an architectural approach to users privacy, rights and security in the age of big data. In Thirty seventh international conference on information systems, Dublin 2016
Publication Date | Jan 1, 2016 |
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Deposit Date | Jan 25, 2017 |
Publicly Available Date | Jan 25, 2017 |
Peer Reviewed | Not Peer Reviewed |
Book Title | Thirty seventh international conference on information systems, Dublin 2016 |
ISBN | 9780996683135 |
Keywords | Big data, Small data, Identity, Privacy, Rights, Security, Architecture, Distributed systems, Data science, Separation of concern, Social networking sites |
Public URL | https://hull-repository.worktribe.com/output/447614 |
Publisher URL | Paper available online at http://aisel.aisnet.org/icis2016/ISDesign/Presentations/8/. |
Contract Date | Jan 25, 2017 |
Files
Conference paper
(461 Kb)
PDF
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