Chercheur·e du réseau


Faculté des sciences
Sébastien Gambs
Professeur·e
Université du Québec à Montréal (UQÀM)
Faculté des sciences
Département d'informatique
Intérêts de recherche
  • Sécurité des systèmes informatiques
  • Intelligence artificielle
  • Enjeux éthiques
  • Justice prédictive
  • Big Data
Informations générales
Numéro de téléphone : 
(514) 987-3000 x0906
Numéro de local : 
PK-4925
Principales réalisations
Les aspects sécuritaires des crypto-monnaies

2018 - Entrevue diffusée dans le cadre de l'émission La Sphère de Radio-Canada

LEGALIA - INTELLIGENCE ARTIFICIELLE, ÉTHIQUE, JUSTICE ET DROITS HUMAINS

2017 -  Projet de recherche en informatique et droit pour un développement éthique de l’intelligence artificielle dans les domaines du droit et de la justice.

De-anonymization attack on geolocated data

With the advent of GPS-equipped devices, a massive amount of location data is being collected, raising the issue of the privacy risks incurred by the individuals whose movements are recorded. In this work, we focus on a specific inference attack called the de-anonymization attack, by which an adversary tries to infer the identity of a particular individual behind a set of mobility traces. More specifically, we propose an implementation of this attack based on a mobility model called Mobility Markov Chain (MMC). An MMC is built out from the mobility traces observed during the training phase and is used to perform the attack during the testing phase. We design several distance metrics quantifying the closeness between two MMCs and combine these distances to build de-anonymizers that can re-identify users. Experiments conducted on real datasets demonstrate that the attack is both accurate and resilient to sanitization mechanisms.

Affiliations