Team for Research in
Ubiquitous Secure Technology

Citation
Michael Siegenthaler, Ken Birman. "Towards a Scalable System for Distributed Management of Private Information". Talk or presentation, 11, November, 2008.

Abstract
In the healthcare industry and others, there is a need to electronically share privacy-sensitive data across distinct organizations. We demonstrate how this can be done while allowing organizations to keep their legacy databases and maintain ownership of the data that they currently store. Data sharing is indeed possible without sending or mirroring data to any trusted, centralized entity. In this paper we outline how queries can be executed against distributed data while revealing nothing more than the answer of the query to the organization who asked for it. Additionally, our system avoids revealing the query to the organization where the data is stored, and keeps the identity of each organization secret.

Electronic downloads

• 2%20-%20Siegenthaler.ppt · application/vnd.ms-powerpoint · 431 kbytes

• HTML

  Michael Siegenthaler, Ken Birman. <a
  href="http://www.truststc.org/pubs/473.html"
  ><i>Towards a Scalable System for Distributed
  Management of Private Information</i></a>, Talk
  or presentation,  11, November, 2008.

• Plain text

  Michael Siegenthaler, Ken Birman. "Towards a Scalable
  System for Distributed Management of Private
  Information". Talk or presentation,  11, November, 2008.

• BibTeX

  @presentation{SiegenthalerBirman08_TowardsScalableSystemForDistributedManagementOfPrivate,
      author = {Michael Siegenthaler and Ken Birman},
      title = {Towards a Scalable System for Distributed
                Management of Private Information},
      day = {11},
      month = {November},
      year = {2008},
      abstract = {In the healthcare industry and others, there is a
                need to electronically share privacy-sensitive
                data across distinct organizations. We demonstrate
                how this can be done while allowing organizations
                to keep their legacy databases and maintain
                ownership of the data that they currently store.
                Data sharing is indeed possible without sending or
                mirroring data to any trusted, centralized entity.
                In this paper we outline how queries can be
                executed against distributed data while revealing
                nothing more than the answer of the query to the
                organization who asked for it. Additionally, our
                system avoids revealing the query to the
                organization where the data is stored, and keeps
                the identity of each organization secret. },
      URL = {http://www.truststc.org/pubs/473.html}
  }
  

Posted by Jessica Gamble on 23 Jan 2009.
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