Abstract:
With the advent of location-based services and GPS-equipped devices, a massive amount of location data is being generated daily, raising the issue of the privacy risks incurred by the individuals whose movements are recorded. In this talk, I will address the various attacks that can be performed on such data: learning your points-of-interrest, prediction of your future movements, de-anonimization, etc. I will present some realization of those attacks based on a single and compact mobility model coined the Markov Mobility Chain. I will also discuss some techniques for protecting individuals geoprivacy based on simple data sanitization or on more complex cryptographic and/or distributed mechanisms.
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Bio:
Dr. Marc-Olivier Killijian received an Engineer degree from the National Institute of Applied Sciences of Toulouse in 1996, and a PhD in computer science from the National Polytechnic Institute of Toulouse in January 2000. His main interest at LAAS during this period concerned reflective computing, metaobject protocols and fault tolerance in distributed systems. Then he was working in the Trinity College of Dublin as a Research Fellow in the Distributed Systems Group, where he was involved in the definition and implementation of a new paradigm for location-aware group communication in ad-hoc mobile networks. He joined in 2001 the Dependable Computing and Fault-Tolerance Group at LAAS-CNRS as Chargé de Recherche. His research interests concern resilience issues in mobile and ubiquitous system : the impact of mobility at large, fault-tolerance and geo-privacy applied to various mobile systems (robots, automobiles, and other mobiquitous systems).
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