Colorado Research Institute for

Security and Privacy

2012 CRISP Workshop on Information Security and Privacy

Dr. Marco Gruteser
Associate Professor
Electrical and Computer Engineering
Rutgers University

Wireless Location Privacy: Depersonalization Techniques and Connected Vehicle Applications

About Dr. Gruteser:
Dr. Marco Gruteser is an Associate Professor of Electrical and Computer Engineering at Rutgers University and a member of the Wireless Information Network Laboratory (WINLAB). He is a pioneer in the area of location privacy and 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, mobile systems, and pervasive computing 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. His recognitions include an NSF CAREER award, MobiCom and MobiSys best paper awards, and a Rutgers Board of Trustees Research Fellowship for Scholarly Excellence. His work has been featured in numerous media outlets including NPR, the New York Times, and CNN TV.

Talk 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.

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