Big Data and Privacy: Recommendations for organizations to protect the privacy of individuals

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dc.contributor.advisorHaselager, W.F.G.
dc.contributor.authorWitte, M.J.M. de
dc.date.issued2015-05-28
dc.description.abstractIn 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.en_US
dc.embargo.lift10000-01-01
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/221
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleBig Data and Privacy: Recommendations for organizations to protect the privacy of individualsen_US
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