\chapter{Preliminaries}
\label{ch:prel}

In this chapter, we introduce some relevant terminology and information around the problem of continuous publishing of privacy-sensitive data sets.
First, in Section~\ref{sec:data}, we categorize the user-generated data sets and review data processing in the context of continuous data publishing.
Second, in Section~\ref{sec:privacy}, we define information disclosure in data privacy, thereafter, we list the categories of attacks identified in the literature, the possible privacy protection levels, the fundamental privacy operations that are applied to achieve data privacy, and finally we provide a brief overview of the seminal works on privacy-preserving data publishing.
Third, in Section~\ref{sec:correlation}, we mention the different types of correlation, we document ways to extract data dependence from continuous data, and we investigate the privacy risks that data correlation entails with special focus on the privacy loss under temporal correlation.

\input{preliminaries/data}
\input{preliminaries/privacy}
\input{preliminaries/correlation}
