Cor-Split: Defending Privacy in Data Re-publication from Historical Correlations and Compromised Tuples

نویسندگان

  • Daniele Riboni
  • Claudio Bettini
چکیده

Experimental setup: • Dataset: Real census data (http://ipums.org/) composed of 600,000 tuples. Each tuple stores information about an individual: 4 QI-attributes and one private attribute having 50 possible values. Insertions and deletions were randomly performed to obtain a history of 21 releases. • Parameters: p = 0.04; m = 6; L = 21; h = 0.1. Given these parameters, the level n of (m,n)-historical safety to be enforced was n = 3.

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تاریخ انتشار 2009