Small fish in a big pond: an architectural approach to users privacy, rights and security in the age of big data

Angelopoulos, Spyros; McAuley, Derek; Merali, Yasmin; Mortier, Richard; Price, Dominic

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

Angelopoulos, S., McAuley, D., Merali, Y., 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.

• Conference Name: 37th International Conference on Information Systems 2016
• Acceptance Date: Nov 21, 2016
• Publication Date: Dec 11, 2016
• Deposit Date: Aug 30, 2017
• Publicly Available Date: Aug 30, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: Big Data, Small Data, Identity, Privacy, Rights, Security, Architecture, Distributed Systems, Data Science, Separation of Concern, Social Networking Sites
• Public URL: https://nottingham-repository.worktribe.com/output/835725
• Contract Date: Aug 30, 2017