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evaluation: Reviewed intro

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Manos Katsomallos 2021-11-29 02:27:27 +01:00
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In this chapter, we present the experiments that we performed in order to evaluate {\thething} privacy (Chapter~\ref{ch:lmdk-prv}) on real and synthetic data sets.
Section~\ref{sec:eval-dtl} contains all the details regarding the data sets the we used for our experiments along with the system configurations.
Section~\ref{sec:eval-lmdk} evaluates the data utility of the {\thething} privacy schemes that we designed in Section~\ref{sec:thething} in comparison to user and event level, and investigates the behavior of the privacy loss under temporal correlation for different distributions of {\thethings}.
Section~\ref{sec:eval-lmdk} evaluates the data utility of the {\thething} privacy schemes that we designed in Section~\ref{sec:thething} in comparison to user- and event-level, and investigates the behavior of the privacy loss under temporal correlation for different distributions of {\thethings}.
Section~\ref{sec:eval-lmdk-sel} justifies our decisions while designing the privacy-preserving dummy {\thething} selection module in Section~\ref{sec:theotherthing} and the data utility impact of the latter.
Finally, Section~\ref{sec:eval-sum} concludes this chapter by summarizing the main results derived from the experiments.