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Anonymization of moving objects databases by clustering and perturbation

Abul, Osman; Bonchi, Francesco; Nanni, Mirco


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  "@id": 27775, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "TOBB Univ Econ & Technol, Dept Comp Engn, Ankara, Turkey", 
      "name": "Abul, Osman"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Yahoo Res, Barcelona 08018, Spain", 
      "name": "Bonchi, Francesco"
    }, 
    {
      "@type": "Person", 
      "affiliation": "CNR, ISTI, Area Ric Pisa, Pisa KDD Lab, I-56124 Pisa, Italy", 
      "name": "Nanni, Mirco"
    }
  ], 
  "datePublished": "2010-01-01", 
  "description": "Preserving individual privacy when publishing data is a problem that is receiving increasing attention. Thanks to its simplicity the concept of k-anonymity, introduced by Samarati and Sweeney [1], established itself as one fundamental principle for privacy preserving data publishing. According to the k-anonymity principle, each release of data must be such that each individual is indistinguishable from at least k-1 other individuals.", 
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  "name": "Anonymization of moving objects databases by clustering and perturbation", 
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