Challenges of privacy protection in big data analytics

Meiko Jensen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The big data paradigm implies that almost every type of information eventually can be derived from sufficiently large datasets. However, in such terms, linkage of personal data of individuals poses a severe threat to privacy and civil rights. In this position paper, we propose a set of challenges that have to be addressed in order to perform big data analytics in a privacy-compliant way.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Congress on Big Data, BigData 2013
PublisherIEEE
Publication date2013
Pages235-238
Article number6597142
ISBN (Print)9780768550060
DOIs
Publication statusPublished - 2013

Keywords

  • big data
  • challenges
  • privacy

Fingerprint Dive into the research topics of 'Challenges of privacy protection in big data analytics'. Together they form a unique fingerprint.

  • Cite this

    Jensen, M. (2013). Challenges of privacy protection in big data analytics. In Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013 (pp. 235-238). [6597142] IEEE. https://doi.org/10.1109/BigData.Congress.2013.39