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    University of Skövde, link to startpage
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      Data privacy for big data

      Skövde Artificial Intelligence Lab Informatics

      Data privacy for big data

      Skövde Artificial Intelligence Lab
      Informatics

      Quick Facts

      Full project name

      Disclosure risk and transparency in big data privacy

      Duration

      1/1/2017 - 12/31/2021

      Financing

      The Swedish Research Council

      Partners

      Companies keep store a large quantities of data about us, as e.g. our electronic transactions, traces of our internet usage, phone calls and social network posts. This information is valuable for the companies and also for the users as data permits personalization in services. Nevertheless, some of this information is confidential.

      Data privacy studies methods so that information can be used in a way that sensitive information is not disclosed. This project studies data privacy for big data, and it will develop algorithms to ensure data privacy, and approaches to evaluate disclosure risk.

      Project leader

      Professor of Informatics

      Participating Researchers