Exploració per autor "Rebollo-Monedero, David"

Ara es mostren els items 3-5 de 5

    • 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 ...

    • On collaborative anonymous communications in lossy networks 

      Rebollo-Monedero, David; Forné Muñoz, Jorge; Pallarès Segarra, Esteve; Parra-Arnau, Javier; Tripp Barba, Carolina; Urquiza Aguiar, Luis; Aguilar Igartua, Mónica (2013-05-17)
      Article
      Accés restringit per política de l'editorial
      Message encryption does not prevent eavesdroppers from unveiling who is communicating with whom, when, or how frequently, a privacy risk wireless networks are particularly vulnerable to. The Crowds protocol, a well-established ...

    • The Fast Maximum Distance to Average Vector (F-MDAV): an algorithm for k-Anonymous microaggregation in big data 

      Rodríguez Hoyos, Ana Fernanda; Estrada Jiménez, José Antonio; Rebollo-Monedero, David; Mezher, Ahmad Mohamad; Parra Arnau, Javier; Forné Muñoz, Jorge (Elsevier, 2020-02-10)
      Article
      Accés obert
      The massive exploitation of tons of data is currently guiding critical decisions in domains such as economics or health. But serious privacy risks arise since personal data is commonly involved. k-Anonymous microaggregation ...