LPW 2019

The First Location Privacy Workshop (LPW 2019)

to be held in conjunction with the 14th International Conference on Availability, Reliability and Security
(ARES 2019 – http://www.ares-conference.eu)

August 26 – August 29, 2019, Canterbury, UK

Location and mobility data are highly sensitive, as they can be used to infer a number of other personal and sensitive data on an individual. However, human mobility is highly predictable, and location information is routinely collected by location-aware devices (e.g. smartphones), connected vehicles and smart transportation systems, e-tolling, and cameras with face recognition among others.

Location privacy is a rapidly developing research area, and the first Location Privacy Workshop (LPW) will provide a platform for original research and discussion on all technical aspects of privacy and security of location-based services.

Topics of interest include, but are not limited to:

Location privacy
Security of location-aware mobile devices
Privacy-enhancing technologies for location-based services
Privacy and anonymity in (public) transportation systems
Privacy in connected autonomous vehicles
Security of smart mobility applications
Privacy in location-aware social media
Privacy in position-based advertising

Malicious and pervasive tracking, de-anonymization
Cryptographic protocols and schemes for location information
Data structures for location information
Security and reliability of positioning systems
Location verification and authentication
Location forensics
Data protection techniques for regulatory (GDPR) compliance

Important Dates
Submission Deadline May 10, 2019
Author Notification June 10, 2019
Proceedings Version June 23, 2019
ARES EU Symposium August 26, 2019
Conference August 26 – August 29, 2019
Keynote

Location privacy from a statistical perspective
Dr George Theodorakopoulos, Cardiff University, UK

Workshop LPW

 Abstract: One way to view privacy in general, and location privacy in particular, is as a statistical inference problem: The adversary makes noisy observations of the user’s true information (location) and then tries to infer the actual value. This leads naturally to a game between the user and the adversary, in which the user may also be constrained in the amount of noise that can be added. This talk will explore past and current results in this area, and contrast the statistical point of view with other approaches to location privacy. 

George Theodorakopoulos received the Diploma degree from the National Technical University of Athens, Greece, in 2002, and the M.S. and Ph.D. degrees from the University of Maryland, College Park, MD, USA, in 2004 and 2007, all in electrical and computer engineering. He is a Senior Lecturer at the School of Computer Science and Informatics, Cardiff University, which he joined in 2012. From 2007 to 2011, he was a Senior Researcher at the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. He is a coauthor (with John Baras) of the book Path Problems in Networks (Morgan & Claypool, 2010). He received the Best Paper award at the ACM Workshop on Wireless Security, October 2004, for “Trust evaluation in ad-hoc networks” and the 2007 IEEE ComSoc Leonard Abraham prize for “On trust models and trust evaluation metrics for ad hoc networks.” He coauthored “Quantifying Location Privacy,” which was runner-up for the 2012 PET Award (Award for Outstanding Research in Privacy Enhancing Technologies).

Program Chairs

Paolo Palmieri
University College Cork, Ireland

Luca Calderoni
University of Bologna, Italy

Program Committee Members

Antoine Boutet ‒ INSA de Lyon, France
Mauro Conti ‒ University of Padua, Italy
Chhagan Doot ‒ University of Padua, Italy
Zekeriya Erkin ‒ Delft University of Technology, The Netherlands
Sébastien Gambs ‒ Université du Québec à Montréal, Canada
Kimmo Järvinen ‒ University of Helsinki, Finland
Ioannis Krontiris ‒ Huawei European Research Center, Germany
Jelena Milosevic ‒ TU Vienna, Austria
Jun Pang ‒ University of Luxembourg, Luxembourg
Constantinos Patsakis ‒ University of Piraeus, Greece
Francesco Regazzoni ‒ University of Lugano, Switzerland
Simonas Šaltenis ‒ Aalborg University, Denmark
Michael Solomon ‒ University of Cumberlands, USA
Guillermo Suarez de Tangil ‒ King’s College London, UK

Submission Guidelines

The submission guidelines valid for the workshop are the same as for the ARES conference. They can be found at https://www.ares-conference.eu/conference/submission/.