From 04b7f4826fdea0f4cd1cca49b7fb9e449285e8ed Mon Sep 17 00:00:00 2001 From: Manos Katsomallos Date: Mon, 29 Nov 2021 06:31:28 +0100 Subject: [PATCH] conclusion: Reviewed summary --- text/conclusion/summary.tex | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/text/conclusion/summary.tex b/text/conclusion/summary.tex index 5e1f48b..f5af63a 100644 --- a/text/conclusion/summary.tex +++ b/text/conclusion/summary.tex @@ -1,6 +1,6 @@ \section{Thesis summary} \label{sec:sum-thesis} -This thesis revolves around the topic of quality and privacy in user-generated Big Data focusing on the problems regarding privacy-preserving continuous data publishing that we summarize below. +This thesis revolves around the topic of quality and privacy in user-generated Big Data, focusing on the problems regarding privacy-preserving continuous data publishing that we summarize below. \paragraph{Survey on continuous data publishing} @@ -15,12 +15,12 @@ This work appeared in the special feature on Geospatial Privacy and Security of journal of Spatial Information Science~\cite{katsomallos2019privacy}. \paragraph{Configurable privacy protection for time series} -We presented ($\varepsilon$, $L$)-\emph{{\thething} privacy}, a novel privacy notion that is based on differential privacy allowing for better data utility in the presence of important events. Our contributions are: +We presented ($\varepsilon$, $L$)-\emph{{\thething} privacy}, a novel privacy notion that is based on differential privacy allowing for better data utility in the presence of significant events. Our contributions are: \begin{itemize} \item We introduced the notion of \emph{{\thething} events} in privacy-preserving data publishing and differentiated events between regular and events that a user might consider more privacy-sensitive (\emph{\thethings}). % \item We proposed and formally defined a novel privacy notion, ($\varepsilon$, $L$)-\emph{{\thething} privacy}. \item We designed and implemented three {\thething} privacy schemes for {\thethings} spanning a finite time series. - \item We investigated {\thething} privacy under temporal correlation, which is inherent in time series, and studied the effect of {\thethings} on the temporal privacy loss propagation. + \item We studied {\thething} privacy under temporal correlation, which is inherent in time series, and observed the effect of {\thethings} on the temporal privacy loss propagation. \item We designed an additional differential privacy mechanism, based on the exponential mechanism, for providing % additional protection to the temporal position of the {\thethings}