Big Data and Privacy: Recommendations for organizations to protect the privacy of individuals
Keywords
No Thumbnail Available
Authors
Issue Date
2015-05-28
Language
en
Document type
Journal Title
Journal ISSN
Volume Title
Publisher
Title
ISSN
Volume
Issue
Startpage
Endpage
DOI
Abstract
In this thesis the following research question will be answered: ’How, within the context of
current regulations in the EU, could AI techniques help in protecting user’s privacy against
the misuse of Big Data?’ To answer this question, the different stages in the Big Data
process will be explained. Data storage and data security are the vulnerabilities in the
Big Data process with regards to the privacy of individuals. An overview is presented on
the privacy issues that arise with this new technique. Recommendations are given about
anonymizing data with a k-anonymity algorithm, the possibility to store data decentralized,
and better security on data storage in the HDFS. Finally, recommendations are given about
collecting data, taking in account the Data Protection Directive of the European Parliament
of 24 October 1995.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen