• DocumentCode
    3006697
  • Title

    Challenges of Privacy Protection in Big Data Analytics

  • Author

    Jensen, Michael

  • Author_Institution
    Indep. Centre for Privacy Protection Schleswig-Holstein (ULD), Kiel, Germany
  • fYear
    2013
  • fDate
    June 27 2013-July 2 2013
  • Firstpage
    235
  • Lastpage
    238
  • 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.
  • Keywords
    data analysis; data privacy; big data analytics; big data paradigm; privacy compliance; privacy protection; Context; Correlation; Couplings; Data handling; Data privacy; Data storage systems; Information management; big data; challenges; privacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2013 IEEE International Congress on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5006-0
  • Type

    conf

  • DOI
    10.1109/BigData.Congress.2013.39
  • Filename
    6597142