• DocumentCode
    1788039
  • Title

    Privacy preserving health data processing

  • Author

    Andersen, Anders ; Yigzaw, Kassaye Yitbarek ; Karlsen, Randi

  • Author_Institution
    Dept. of Comput. Sci., UiT The Arcic Univ. of Norway, Tromso, Norway
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    225
  • Lastpage
    230
  • Abstract
    The usage of electronic health data from different sources for statistical analysis requires a toolset where the legal, security and privacy concerns have been taken into consideration. The health data are typically located at different general practices and hospitals. The data analysis consists of local processing at these locations, and the locations become nodes in a computing graph. To support the legal, security and privacy concerns, the proposed toolset for statistical analysis of health data uses a combination of secure multi-party computation (SMC) algorithms, symmetric and public key encryption, and public key infrastructure (PKI) with certificates and a certificate authority (CA). The proposed toolset should cover a wide range of data analysis with different data distributions. To achieve this, large set of possible SMC algorithms and computing graphs have to be supported.
  • Keywords
    authorisation; data analysis; data privacy; electronic health records; graph theory; public key cryptography; statistical analysis; CA; PKI; SMC algorithms; certificate authority; computing graph; data analysis; data privacy; electronic health data processing; public key encryption; public key infrastructure; secure multiparty computation; statistical analysis; Data privacy; Encryption; Privacy; Public key; Receivers; Snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on
  • Conference_Location
    Natal
  • Type

    conf

  • DOI
    10.1109/HealthCom.2014.7001845
  • Filename
    7001845