Browsing Computer Science & Engineering by Subject "L diversities"

Now showing items 1-2 of 2

    • Efficient sanitization of unsafe data correlations 

      AL Bouna, Bechara; Clifton, Chris; Malluhi, Qutaibah ( CEUR-WS , 2015 , Conference Paper)
      In this paper, we present a study to counter privacy violation due to unsafe data correlation. We propose a safe correlation requirement to keep correlated values bounded by l-diversity and evaluate the trade-off to be ...

    • Using safety constraint for transactional dataset anonymization 

      Al Bouna, Bechara; Clifton, Chris; Malluhi, Qutaibah ( Springer , 2013 , Conference Paper)
      In this paper, we address privacy breaches in transactional data where individuals have multiple tuples in a dataset. We provide a safe grouping principle to ensure that correlated values are grouped together in unique ...