Wireless Location Privacy: Depersonalization Techniques and Connected Vehicle Applications
Staff - Faculty of Informatics
Start date: 19 August 2011
End date: 20 August 2011
The Faculty of Informatics is pleased to announce a seminar given by Marco Gruteser
DATE: Friday, August 19th 2011
PLACE: USI Università della Svizzera italiana, room SI-008, Informatics Building (Via G. Buffi 13)
TIME: 11.00
ABSTRACT:
Motivated by connected vehicle applications such as automotive traffic monitoring systems, this talk will provide an overview of the problem of providing location privacy by depersonalizing wireless communications. I will first focus on depersonalizing application-layer location data. This part of the talk will review spatial cloaking for point queries and discuss path cloaking techniques for providing unlinkability in time-series location traces. I will then describe how we incorporated such ideas, as a privacy-by-design case study, in a smartphone-based automotive traffic monitoring system that has been trialed with hundreds of users in the Bay Area. This effort led to a distributed scheme based on virtual trip lines, which does not need to rely on a trustworthy privacy server with access to all traces. In the latter part of this talk, I will discuss location privacy considerations across lower layers of the wireless network stack and shed light on the current state-of-the art with a case study analysis of wireless transmitters embedded in automobiles.
BIO:
Marco Gruteser is an Associate Professor of Electrical and Computer Engineering and Computer Science at Rutgers University and a member of the Wireless Information Network Laboratory (WINLAB). He has pioneered cloaking algorithms for enhancing location privacy and is also recognized for his work on connected vehicle applications. Beyond these topics, his 80+ peer-reviewed articles and patents span a wide range of wireless systems and pervasive application issues. He received his MS and PhD degrees from the University of Colorado in 2000 and 2004, respectively, and has held research and visiting positions at the IBM T. J. Watson Research Center and Carnegie Mellon University. He has served on the technical program committees of numerous ACM and IEEE conferences, including MobiCom, MobiSys and INFOCOM, as well as on the editorial boards of the journals IEEE Transactions on Mobile Computing and Elsevier Computer Networks. His recognitions include an NSF CAREER award, a MobiSys best paper award, and a Rutgers Board of Trustees Research Fellowship for Scholarly Excellence. His work has also been featured in numerous media outlets such as the MIT Technology Review, the New York Times, and CNN TV.
HOST: Prof. Matthias Hauswirth
