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ABC4Trust: Protecting Privacy in Identity Management by Bringing Privacy-ABCs into Real-Life Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Privacy and Confidentiality in Service Science and Big Data Analytics

Author : Christine M. O’Keefe

Published in: Privacy and Identity Management for the Future Internet in the Age of Globalisation

Publisher: Springer International Publishing

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Abstract

Vast amounts of data are now being collected from census and surveys, scientific research, instruments, observation of consumer and internet activities, and sensors of many kinds. These data hold a wealth of information, however there is a risk that personal privacy will not be protected when they are accessed and used.
This paper provides an overview of current and emerging approaches to balancing use and analysis of data with confidentiality protection in the research use of data, where the need for privacy protection is widely-recognised. These approaches were generally developed in the context of national statistical agencies and other data custodians releasing social and survey data for research, but are increasingly being adapted in the context of the globalisation of our information society. As examples, the paper contributes to a discussion of some of the issues regarding confidentiality in the service science and big data analytics contexts.

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previous chapter Privacy and Security Perceptions of European Citizens: A Test of the Trade-Off Model
next chapter The Court of Justice of the European Union, Data Retention and the Rights to Data Protection and Privacy – Where Are We Now?
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Metadata
Title
Privacy and Confidentiality in Service Science and Big Data Analytics
Author
Christine M. O’Keefe
Copyright Year
2015
Book
Privacy and Identity Management for the Future Internet in the Age of Globalisation

Print ISBN: 978-3-319-18620-7

Electronic ISBN: 978-3-319-18621-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-18621-4_5

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