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Context-aware systems aim to deliver a rich user experience by
taking into account the current user context (location, time,
activity, etc.), possibly captured without his intervention. For
example, cell phones are now able to continuously update a user's
location while, at the same time, users execute an increasing
amount of activities online, where their actions may be easily
captured (e.g. login in a web application) without user consent. In
the last decade, this topic has seen numerous developments that
demonstrate its relevance and usefulness. The trend was accelerated
with the widespread availability of powerful mobile devices (e.g.
smartphones) that include a myriad of sensors which enable
applications to capture the user context. However, there are
several challenges that must be addressed; we focus on scalability
(large number of context aware messages) and privacy (personal data
that may be propagated). This book is organized in five chapters
starting with an introduction to the theme raising the most
important challenges. Then, chapter two presents several important
definitions (establishing a common ground for the following
chapters) and taxonomy. These are important to chapter three which
describes some of the most relevant distributed context-aware
systems that can be classified according to the taxonomy. Privacy
is addressed in chapter four and chapter five presents some
important conclusions. The audience for this book is wide;
researchers, students and professionals interested in the areas
addressed will find the most relevant information regarding
scalability and privacy in distributed context-aware systems.
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