The 2nd Location Privacy Workshop (LPW 2020)
to be held in conjunction with the 15
International Conference on Availability, Reliability and Security
(ARES 2020 –
August 25 – August 28, 2020
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 second Location Privacy Workshop (LPW) provides 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:
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 of location traces
Cryptographic protocols and schemes for location information
Data structures for location information
Security and reliability of positioning systems
Location verification and authentication
Data protection techniques for regulatory (GDPR) compliance
|Submission Deadline||May 17, 2020|
|Author Notification||June 12, 2020|
|Proceedings Version||July 05, 2020|
|ARES EU Symposium||August 25, 2020|
|All-Digital Conference||August 25 – August 28, 2020|
University College Cork, Ireland
University of Bologna, Italy
Program Committee Members
Antoine Boutet, INSA de Lyon, France
Zekeriya Erkin Delft University of Technology, Netherlands
Sébastien Gambs Université du Québec à Montréal, Canada
Prosanta Gope, University of Sheffield, UK
Kévin Huguenin, Université de Lausanne, Switzerland
Kimmo Järvinen University of Helsinki, Finland
Ioannis Krontiris Huawei European Research Center, Germany
Jun Pang University of Luxembourg, Luxembourg
Raúl Pardo, IT University of Copenhagen, Denmark
Constantinos Patsakis University of Piraeus, Greece
Francesco Regazzoni University of Lugano, Switzerland
Michael Solomon University of Cumberlands, USA
George Theodorakopoulos, Cardiff University, United Kingdom
Rolando Trujillo Rasúa, Deakin University, Australia
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/ .
Gabriel Ghinita , Associate Professor at University of Massachusetts.
“An Overview of Research Directions for Protecting Privacy of Location Data”
The use of location data has become ubiquitous, given the emergence of mobile apps in the past decade. Numerous services rely on location data to provide customized service to their users. While the benefits of using such data for location-based services, recommender systems or healthcare apps are clear, there are also concerns with respect to protecting individual privacy. Disclosing location traces to an untrusted service can lead to serious privacy violations.
This talk will explore the latest research directions and trends in protecting the privacy of location data. We will investigate three main categories of approaches: (1) differential privacy for releasing statistics on user whereabouts; (2) geo-indistinguishability for location perturbation in online services; and (3) techniques for processing on encrypted location data. These three approaches offer interesting trade-offs with respect to data accuracy, performance, and the nature of data access supported (i.e., aggregate data access vs individual location data use).
Dr. Gabriel Ghinita is an Associate Professor at University of Massachusetts, Boston. During the 2018/19 academic year, he spent one year as a Visiting Associate Professor at University of Southern California. Prior to joining UMB in Fall 2011, he was a Research Associate at the Purdue Cyber Center and Purdue Center for Education and Research in Information Assurance and Security (CERIAS).
Dr. Ghinita’s research focuses on information security and privacy, with emphasis on protecting location data. His 2008 work published in ACM SIGMOD 2008 was the first to support practical nearest-neighbor queries with cryptographic-strength protection, and has more than 900 citations to date (according to Google Scholar). His research work on protecting location privacy received an Outstanding Paper Award at the ACM SIGSPATIAL 2009 conference, and a Distinguished Paper Award at the 2014 ACM Conference on Data and Application Security and Privacy (CODASPY)