• Implementation and evaluation of microaggregation algorithms for categorical data 

      Veltmann, Arnold (Universitat Politècnica de Catalunya, 2022-09-14)
      Projecte Final de Màster Oficial
      Accés obert
      In a growingly digitalised world, the need for data privacy is apparent. Data scientists have contributed much previous work to ensure privacy regarding numerical data attributes in published datasets. However, work with ...
    • Improving microaggregation for complex record anonymization 

      Pont Tuset, Jordi; Nin Guerrero, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (Springer Verlag, 2008)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Microaggregation is one of the most commonly employed microdata protection methods. This method builds clusters of at least k original records and replaces the records in each cluster with the centroid of the cluster. ...
    • Incremental k-Anonymous microaggregation in large-scale electronic surveys with optimized scheduling 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel; Hernández Baigorri, César (Institute of Electrical and Electronics Engineers (IEEE), 2018-10-15)
      Article
      Accés obert
      Improvements in technology have led to enormous volumes of detailed personal information made available for any number of statistical studies. This has stimulated the need for anonymization techniques striving to attain a ...
    • Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets 

      Pallarès Segarra, Esteve; Rebollo-Monedero, David; Rodríguez Hoyos, Ana Fernanda; Estrada Jiménez, José Antonio; Mezher, Ahmad Mohamad; Forné Muñoz, Jorge (2019-11-11)
      Article
      Accés obert
      The technical contents of this work fall within the statistical disclosure control (SDC) field, which concerns the postprocessing of the demographic portion of the statistical results of surveys containing sensitive personal ...