From adf9bdaa271416d72c7c366f0420a9d826c5d63c Mon Sep 17 00:00:00 2001 From: Manos Katsomallos Date: Mon, 29 Nov 2021 05:02:09 +0100 Subject: [PATCH] evaluation: Reviewed summary --- text/evaluation/summary.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/text/evaluation/summary.tex b/text/evaluation/summary.tex index 6f3b456..dd52fb8 100644 --- a/text/evaluation/summary.tex +++ b/text/evaluation/summary.tex @@ -1,9 +1,9 @@ \section{Summary} \label{sec:eval-sum} -In this chapter we presented the experimental evaluation of the {\thething} privacy schemes and the dummy {\thething} selection module that we developed in Chapter~\ref{ch:lmdk-prv}, on real and synthetic data sets. +In this chapter we presented the experimental evaluation of the {\thething} privacy schemes and the dummy {\thething} selection module, that we developed in Chapter~\ref{ch:lmdk-prv}, on real and synthetic data sets. The \texttt{Adaptive} scheme is the most reliable and best performing scheme, in terms of overall data utility, with minimal tuning across most of the cases. \texttt{Skip} performs optimally in data sets with a smaller target value range, where approximation fits best. -The dummy {\thething} selection module introduces a reasonable data utility decline to all of our schemes however, the \texttt{Adaptive} handles it well and bounds the data utility to higher levels compared to user-level protection. +The dummy {\thething} selection module introduces a reasonable data utility decline to all of our schemes; however, the \texttt{Adaptive} handles it well and bounds the data utility to higher levels compared to user-level protection. % \kat{it would be nice to see it clearly on Figure 5.5. (eg, by including another bar that shows adaptive without landmark selection)} % \mk{Done.} In terms of temporal correlation, we observe that under moderate and strong temporal correlation, a greater average regular--{\thething} event distance in a {\thething} distribution causes greater temporal privacy loss.