The 2nd International Workshop on Privacy-Aware
Location-based Mobile Services (PALMS)
In conjunction with the 9th International Conference on Mobile Data Management (MDM'08)

 April 27 2008, Beijing, China
   
CALL FOR PAPERS [Download: pdf (letter), txt]
HOME | PAPER SUBMISSION | PROGRAM | REGISTRATION | HOTELS | CONFERENCE VENUE

Co-Organizers
Wei-Shinn Ku
Auburn University, USA
Mohamed F. Mokbel
U. of Minnesota, USA
Wen-Chih Peng
NCTU, Taiwan

 PC Members
Louise Barkhuus
University of Glasgow, UK
Alastair Beresford
University of Cambridge, UK
Claudio Bettini
University of Milan, Italy
Matt Duckham
University of Melbourne, Australia
Fosca Giannotti
IST Institute of the CNR, Italy
Marco Gruteser
Rutgers University, USA
Urs Hengartner
University of Waterloo, Canada
Shin'ichi Konomi
University of Tokyo, Japan
John Krumm
Microsoft
Jiun-Long Huang
National Chiao Tung University, Taiwan.
Xuemin Lin
University of New South Wales, Australia
Vashek Matyas
Masaryk University, Czech Republic
Xiaofeng Meng
Renmin University of China, China
Yucel Saygin
Sabanci University, Turkey
Cyrus Shahabi
University of Southern California, USA
Xueyan Tang
Nanyang Technological University, Singapore
Jaideep Vaidya
Rutgers University, USA
Vassilios Verykios
University of Thessaly, Greece
Man Lung Yiu
Aalborg University, Denmark
Jaap Zevenbergen
Delft University of Technology, Netherlands
Jianliang Xu
Hong Kong Baptist University, China
Louise Barkhuus
University of California,
San Diego, USA
Ada Waichee Fu
Chinese University of Hong Kong, China
Reynold C.K. Cheng
Hong Kong Polytechnic University, China
Roger Zimmermann
National U. of Singapore, Singapore

Previous Workshop
PALMS 2007
Workshop Program

8:50-9:00: Opening Remarks:

9:00-10:30: Session 1: Chair: Wen-Chih Peng (National Chiao Tung University, Taiwan)

p-Sensitivity: A Semantic Privacy-Protection Model for Location-based Services
Zhen Xiao, Jianliang Xu, and Xiaofeng Meng

SPIRAL:A Scalable Private Information Retrieval Approach to Location Privacy
Ali Khoshgozaran, Houtan Shirani-Mehr and Cyrus Shahabi

How much Room before you Rely: Balancing Privacy control and Fidelity in the Location-based Pervasive Applications
Nilothpal Talukder and Sheikh I Ahamed

10:30-10:50: Coffee Break

11:00-12:30: Session 2: Chair: Jianliang Xu (Hong Kong Baptist University, Hong Kong)

Generating Virtual Users with Real Path Information to Improve Location Privacy
Hubert Kreuzpointner and Robert Eigner

Context-Based Privacy Protection for Location-Based Mobile Services using Pseudonyms
Joachim Zeiss and Oliver Jorns

Cache Management Techniques for Privacy Protected Location-based Services
Yu Chen, Jie Bao, Wei-Shinn Ku, and Jiun-Long Huang

12:40-13:30: Lunch Break
Accept Paper List

Generating Virtual Users with Real Path Information to Improve Location Privacy
 Hubert Kreuzpointner and Robert Eigner

p-Sensitivity: A Semantic Privacy-Protection Model for Location-based Services
 Zhen Xiao, Jianliang Xu, and Xiaofeng Meng

How much Room before you Rely: Balancing Privacy control and Fidelity in the
Location-based Pervasive Applications
 Nilothpal Talukder and Sheikh I Ahamed

SPIRAL:A Scalable Private Information Retrieval Approach to Location Privacy
 Ali Khoshgozaran, Houtan Shirani-Mehr and Cyrus Shahabi

Context-Based Privacy Protection for Location-Based Mobile Services using Pseudonyms
 Joachim Zeiss and Oliver Jorns

Cache Management Techniques for Privacy Protected Location-based Services
 Yu Chen, Jie Bao, Wei-Shinn Ku, and Jiun-Long Huang
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 privacy. 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. Submitted papers will be published in IEEE workshop proceedings as 8 pages in IEEE style format. Papers must be submitted to palms08@db.csie.nctu.edu.tw by e-mails. Submissions of novel ideas and positions that can spark discussion among the attendees are strongly encouraged.

 

Important Dates (Tentative)

Submission deadline: February 24, 2008 (Deadline is extended)
Notifications: March 25, 2008
Workshop date: April 27, 2008
 
Last updated: February 12, 2008