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PALMS 2009 : The 3rd International Workshop on Privacy-Aware Location-based Mobile Services | |||||||||||||
Link: http://ilab.auburn.edu/palms09 | |||||||||||||
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Call For Papers | |||||||||||||
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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 |
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