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ICSA / Networks group seminar with Marco Fiore (CNR, Italy)

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What
  • Colloquium Series
When Nov 24, 2017
from 02:30 PM to 03:30 PM
Where IF 4.31/4.33
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Title:

Privacy in mobile phone trajectory data: indistinguishability and uninformativeness

 

Abstract:

Mobile network operators collect information about the movements of their subscribers via passive or active monitoring of mobile device locations. The recorded trajectories offer an unprecedented outlook on the activities of large user populations, which enables developing new networking solutions and services, and scaling up studies in multiple research disciplines. Yet, the disclosure of individual trajectories raises significant privacy concerns that personal data protection regulations are translating into legal requirements. Meeting such requirements creates a need for solutions that anonymise mobile phone trajectories while preserving data quality. In this talk, I will present contributions to the design of such solutions, discussing the implementation of two important privacy principles, indistinguishability and uninformativeness, in mobile phone trajectory data.

 

Bio:

Marco Fiore is a permanent researcher at CNR-IEIIT, Italy, a Royal Society visiting research fellow, and a EU Marie Curie fellow. Marco received MSc degrees from the University of Illinois at Chicago, IL, USA, and Politecnico of Torino, Italy, a PhD degree from Politecnico di Torino, Italy, and a Habilitation à Diriger des Recherches (HDR) from Université de Lyon, France. He was Maître de Conférences (Associate Professor) at Institut National des Sciences Appliquées (INSA) de Lyon, France, Associate Researcher at Inria, France, visiting research fellow at Rice University, TX, USA, Universitat Politècnica de Catalunya (UPC), Spain, and University College London (UCL), UK. Marco is a recipient of the French national Scientific Excellence Award (PES), EU Marie Curie Career Reintegration Grant, Royal Society International Exchange Fellowship, Data Transparency Lab grant, and a Finalist at the Telecom Italia Big Data Challenge. He is a senior member of IEEE, and a member of ACM.

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