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SUMMARY:Decentralising Data Collection and Anonymisation - Steven Murdoch 
 (University College London)
DTSTART:20161209T120000Z
DTEND:20161209T123000Z
UID:TALK69408@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:A frequent approach for anonymising datasets is for individual
 s to submit  sensitive data records to a central authority. The central au
 thority then is  responsible for safely storing and sharing the data\, for
  example by aggregating  or perturbing records. However\, this approach in
 troduces the risk that the  central authority may be compromised\, whether
  this from an externally originated  hacking attempt or as a result of an 
 insider attack. As a result\, central  authorities responsible for handlin
 g sensitive data records must be well  protected\, often at great expense\
 , and even then the risk of compromise will not  be eliminated. <br> <span
 ><br>In this talk I will discuss an alternative anonymisation approach\, w
 here  sensitive data records have identifiable information removed before 
 being  submitted to the central authority. In order for this approach to w
 ork\, not only  must this first-stage anonymisation prevent the data from 
 disclosing the  identity of the submitter\, but also the data records must
  be submitted in such a  way as to prevent the central authority from bein
 g able to establish the  identity of the submitter from submission metadat
 a. I will show how advances in  network metadata anonymisation can be appl
 ied to facilitate this approach\,  including techniques to preserve validi
 ty of data despite not knowing the  identity of contributors.</span>
LOCATION:Seminar Room 1\, Newton Institute
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