User-Centric Distributed Solutions for Privacy-Preserving Analytics.

The author discusses the use of cryptography in order to promote privacy-preserving analytics. Topics include the use of a web-based application using secure multi-party computation (MPC) to support the aggregation of sensitive salary data for an initiative by the City of Boston and the Boston Women...

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Publicado en:Communications of the ACM Vol. 60; no. 2; pp. 37 - 40
Autores principales: Bestavros, Azer, Lapets, Andrei, Varia, Mayank
Formato: Opinion
Publicado: Association for Computing Machinery Feb2017
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Bestavros, Azer
          Lapets, Andrei
          Varia, Mayank
        affil:
          Professor of Computer Science and Founding Director of the Hariri Institute for Computing at Boston University.
          Research Scientist and Director of Research Development at the Hariri Institute for Computing at Boston University
          Research Scientist and Co-Director of the Center for Reliable Information Systems and Cyber Security at the Hariri Institute for Computing at Boston University.
      su:
        Cryptography
        Data security
        Data privacy
        Right of privacy
        Development of application software
      sug:
        subj:
          Cryptography
          Data security
          Data privacy
          Right of privacy
          Development of application software
      ab: The author discusses the use of cryptography in order to promote privacy-preserving analytics. Topics include the use of a web-based application using secure multi-party computation (MPC) to support the aggregation of sensitive salary data for an initiative by the City of Boston and the Boston Women's Workforce Council (BWWC), and the use of MPC to support data-driven analysis and policymaking.
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      doctype: Opinion
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    language: English
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