Hiding mobile traffic fingerprints with GLOVE

  title={Hiding mobile traffic fingerprints with GLOVE},
  author={Marco Gramaglia and Marco Fiore},
Preservation of user privacy is paramount in the publication of datasets that contain fine-grained information about individuals. The problem is especially critical in the case of mobile traffic datasets collected by cellular operators, as they feature high subscriber trajectory uniqueness and they are resistant to anonymization through spatiotemporal generalization. In this work, we first unveil the reasons behind such undesirable features of mobile traffic datasets, by leveraging an original… CONTINUE READING
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