Leave a comment

[Apologies if you receive multiple copies of this message]
====================================================================
                      The 3rd International Workshop on
          Privacy-Aware Location-based Mobile Services (PALMS)
         In conjunction with the 10th International Conference on
                     Mobile Data Mangement (MDM'09)
                     Taipei, Taiwan, May 18-21, 2009
               http://ilab.auburn.edu/palms09/

                      ***** CALL FOR PAPERS *****

Theme of the Workshop

Combining the functionality of location-aware devices, wireless and
cellular phone technologies, and data management results in enabling
a new era of location-based mobile services that aim to provide personalized
services to their customers based on their current locations. Examples of
such services include location-aware emergency service, location-based
advertisement, live traffic reports, and location-based store finder.
Although location-based services promise safety and convenience, they
threaten the privacy and security for their customers as they rely mainly
on the knowledge of their customers' location information. The current
model of location-based services trades the customers' privacy with the
service. If a user wants to keep her private location information, she
has to turn off her location-aware device and temporarily unsubscribe
from the service. Recent social studies show that customers become more
privacy-aware as they tend to avoid using location-based services in order
to keep their privay. As a result, there is a real concern that the privacy
issues may hinder the technological advances in location-based services.

Workshop Goals

Location privacy is a cross cutting area as it crosses social science,
communications, location-based services, databases, and security.
The main goal of the workshop is to gather scientists from these areas
together to foster the collaboration among such interdisciplinary areas
and sparkle discussion on open topics related to location privacy.

The workshop aims aim to address the location privacy from different
aspects, starting from social studies of users concerns, going through
different models of representing location privacy, location anonymization
techniques, imprecise locations, query processing for private or imprecise
location data, and ending with a study of various attack models for
private location data. The workshop aims also to discuss location privacy
in various environments that include using GPS, RFID, or sensor networks.
The workshop will be organized in a way to allow close interaction among
participants and to sparkle discussions and thoughts among various research
communities.

Workshop Scope

The scope of this workshop includes but is not limited to the following topics:

• Context-aware privacy
• Location data publish models
• Location-based Services with location privacy
• Imprecision in Mobile Computing
• Legislative approaches for protecting location privacy
• Location Anonymity Techniques
• Non-intrusive location tracking
• Models for simultaneous provision of security and privacy
• Privacy attack models
• Privacy in sensor networks
• Query Processing for private location data
• Social studies for location privacy
• User perceptive to location privacy

Paper Submissions

All submissions must be original unpublished work written in English that is
currently not under review at another venue. Papers submitted must be no longer than 8 pages
in IEEE conference style format. Papers must be submitted through https://cmt.research.microsoft.com/PALMS2009/.
Submissions of novel ideas andpositions that can spark discussion among the attendees are strongly encouraged.

Important Dates (Tentative)

Submission deadline: January 30, 2009
Notifications: March 1, 2009
Workshop date: May 21, 2009

Workshop Chair

Xiaofeng Meng, Renmin University of China, China

PC Co-Chair

XiaoChun Yang, Northeastern University, China
Wei-Shinn Ku, Auburn University, USA

Programme Committee Members

Walid Aref, Purdue University, USA
Louise Barkhuus, University of Glasgow, UK
Alastair Beresford, University of Cambridge, UK
Claudio Bettini, University of Milan, Italy
Lei Chen, Hong Kong University of Science and Technology, Hong Kong
Yu Chen, State University of New York at Binghamton, USA
Reynold Cheng, University of Hong Kong, Hong Kong
Max J. Egenhofer, University of Maine, USA
Marco Gruteser, Rutgers University, USA
Urs Hengartner, University of Waterloo, Canada
Chih-Lin Hu, National Central University, Taiwan
Jiun-Long Huang, National Chiao Tung University, Taiwan
Yoshiharu Ishikawa, Nagoya University, Japan
Eija Kaasinen, VTT Information Technology, Finland
Panos Kalnis, National University of Singapore, Singapore
Lars Kulik, University of Melbourne, Australia
Xuan Liu, IBM T.J. Watson Research Center, USA
Hua Lu, Aalborg University, Denmark
Wen-Chih Peng, National Chiao Tung University, Taiwan
Cyrus Shahabi, University of Southern California, USA
Xiaoyang Sean Wang, University of Vermont, USA
Jianliang Xu, Hong Kong Baptist University, Hong Kong
Baihua Zheng, Singapore Management University, Singapore
Roger Zimmermann, National University of Singapore, Singapore