Location-based applications refer to those that use location
data in a prominent manner. Location data can be very effective for
service provisioning, enabling the birth of a new generation of
information services. Although data security and privacy issues
have been extensively investigated in several domains, current
techniques are not readily applicable to location-based
applications. Conciliating the effectiveness of these applications
with privacy concerns constitutes a unique challenge, mostly due to
the semantic richness of location and time information. 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 recent years to identify privacy attacks and
defense techniques in this domain.
This state-of-the-art survey provides a solid ground for
researchers approaching this topic to understand current
achievements through a common categorization of privacy threats and
defense techniques. This objective is particularly challenging
considering the specific (and often implicit) assumptions that
characterize the recent literature on privacy in location-based
services.
The book also illustrates the many facets that make the study of
this topic a particularly interesting research subject, including
topics that go beyond privacy preserving transformations of service
requests, and include access control, privacy preserving publishing
of moving object data, privacy in the use of specific positioning
technology, and privacy in vehicular network applications.
General
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