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System and method for distributed privacy preserving data mining

  • US 8,650,213 B2
  • Filed: 05/23/2007
  • Issued: 02/11/2014
  • Est. Priority Date: 07/16/2004
  • Status: Expired due to Fees
First Claim
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1. A method of data mining in a privacy-preserving manner in a distributed computing environment including a plurality of entities, comprising the steps of:

  • a first entity of the plurality of entities exchanging summary information with a second entity of the plurality of entities via a privacy-preserving data sharing protocol such that the privacy of the summary information is preserved, the summary information associated with an entity relating to data stored at the entity; and

    the first entity mining data based on at least the summary information obtained from the second entity via the privacy-preserving data sharing protocol;

    wherein the summary information exchanging step comprises;

    the first and second entities each generating a random number;

    in a first round, the first entity and the second entity adding their random numbers to a global count, in a given order, to generate an overall global count, wherein a current count value that an entity receives from a previous entity in the given order is the global count; and

    in a second round, the first entity and second entity adding a first value and a second value, respectively, to the overall global count, in the given order, the first and second values representing private data of the first and second entities.

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