From 119a15024a88d24a8b62b8f202923c3294b77474 Mon Sep 17 00:00:00 2001 From: Manos Katsomallos Date: Mon, 25 Oct 2021 07:58:50 +0200 Subject: [PATCH] conclusion: Intro --- text/conclusion/main.tex | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/text/conclusion/main.tex b/text/conclusion/main.tex index 3ccfbf9..9b1cebc 100644 --- a/text/conclusion/main.tex +++ b/text/conclusion/main.tex @@ -1,5 +1,18 @@ \chapter{Conclusion and future work} \label{ch:con} +Continuous publishing of data, also known as time series, has found over the past decades several application domains, including healthcare, smart building, and traffic monitoring. +In many cases, time series are geotagged data containing sensitive personal details, and thus their processing entails privacy concerns. + +The processing/publishing of time series that contain user-generated data, may not only pose privacy risks to the individuals involved but also deteriorate arbitrarily the data utility. +To this end, differential privacy is the most prominent privacy method that can efficiently balance between user protection and data utility. + +In this thesis, we have concentrated on continuous user-generated data publishing. +We have studied the relevant literature with special emphasis on data correlation. +Furthermore, we explored ways to provide configurable protection in such settings and developed relevant solutions. + +Next, we summarize this thesis in the individual chapters by describing our contribution to the problems surrounding quality and privacy in user-generated Big Data. +Subsequently, we discuss interesting perspectives and open questions for future investigation. + \input{conclusion/summary} \input{conclusion/perspectives}