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Although data security and privacy issues have been
extensively investigated in several domains, the current available
techniques are not readily applicable for privacy protection in
location-based applications. These applications include, but are not
limited to, Location-Based Services (LBS). LBS requests are typically
invoked through mobile devices that can provide information including
the location of the user, her direction, and speed. Other location-based
applications use similar data, possibly stored in a moving
object database, to solve different kinds of optimization problems, to
perform statistical analysis of specific phenomena, as well as to
predict potentially critical situations. While location data can be
very effective for service personalization and can enable new kind of
services, it poses serious threats to the privacy of users. LBS in
travel, logistics, health care, and other industries already exist and
are poised to proliferate. Examples of these services are the
identification of resources close to the user (e.g., the closest
pharmacy), or the identification of the optimal route to reach a
destination from the user's position considering traffic conditions and possibly
other constraints.
One of the critical issues for a wide-spread deployment of these applications
is how to conciliate the effectiveness and quality of these services with privacy
concerns. They bring unique challenges mostly due to the richness of
location and time information that is necessarily connected to
location based applications. The research in this field involves
aspects of spatio-temporal reasoning, query processing, system
security, statistical inference, and more importantly anonymization
techniques. Several research groups have been working in the last
years to identify privacy attacks and defense techniques in this
domain.
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It will be a one day workshop held in conjunction with the 13th
European Symposium on Research in Computer Security.
The workshop will be opened by an invited talk, and will continue with
sessions of 2-4 presentations, each one followed by a plenary panel/discussion
including questions to the speakers. The session chair will moderate the panel.
Workshop proceedings are published as CEUR Workshop Proceedings (CEUR-WS.org is a recognized ISSN publication series) and are publicly accessible online (CEUR-WS.org/Vol-397).
Selected contributions will later be invited for inclusion in an edited
book on the workshop topics published by
Springer in the LNCS series.
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