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22 changes: 21 additions & 1 deletion .vscode/settings.json
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35 changes: 35 additions & 0 deletions CoverLetter/coverletter.tex
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\documentclass[12pt]{sriletter}
\topmargin 0in\textheight 8in
\oddsidemargin 0.25in\textwidth 5.75in

\begin{document}
\signature{\vspace*{-1.4cm}\epsfig{file=firma.png,height=12mm}\\
Claudio Ardagna}
\name{Claudio Ardagna}

\telephone{+39-02-503-16223}
\faxnumber{}

\begin{letter}{%
Prof. Borko Furht, Prof. Taghi Koshgoftaar \\
Editor-in-Chief\\
IEEE Transactions on Services Computing\\
}

\opening{Dear Prof. Furht, Dear Prof. Khoshgoftaar,}

I'm hereby submitting the following manuscript for consideration for possible publication in the special issue on ``Trustworthy AI and Data Lineage'' of IEEE Internet Computing.

\textbf{Title}: Balancing Data Quality and Protection in Distributed Big Data Pipelines

\textbf{Authors}: Marco Anisetti, Claudio A. Ardagna, Chiara Braghin, Ernesto Damiani, Antongiacomo Polimeno

The paper does not include any previously published material. Please do not hesitate to contact me if you have any questions or would like additional information.

Thank you in advance for your consideration.

\closing{Best regards,}

\end{letter}

\end{document}
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3,635 changes: 3,635 additions & 0 deletions CoverLetter/minerva-new.eps

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75 changes: 75 additions & 0 deletions CoverLetter/sriletter.cls
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~\\~\\
{\Large UNIVERSIT\`A DEGLI STUDI DI MILANO}\\
{\large Dipartimento di Informatica}\\
% {\em Polo Didattico e di Ricerca di Crema}\\
{\small Via Celoria 18 - 20133 MILAN -- ITALY}\\
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[email protected] $\bullet$
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https://ardagna.di.unimi.it
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35 changes: 29 additions & 6 deletions bib_on_BigDataAccessControl.bib
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Expand Up @@ -63,7 +63,7 @@ @inproceedings{ABACforHBase:2019
}
@inbook{medes2021,
title = {{D}ynamic and {S}calable {E}nforcement of {A}ccess {C}ontrol {P}olicies for {B}ig {D}ata},
author = {Anisetti, Marco and Ardagna, Claudio A. and Braghin, Chiara and Damiani, Ernesto and Polimeno, Antongiacomo and Balestrucci, Alessandro},
author = {Anisetti Marco and Ardagna Claudio A. and Braghin Chiara and Damiani Ernesto and Polimeno Antongiacomo and Balestrucci Alessandro},
year = 2021,
booktitle = {Proceedings of the 13th International Conference on Management of Digital EcoSystems},
publisher = {Association for Computing Machinery},
Expand Down Expand Up @@ -702,16 +702,16 @@ @article{RAHMAN20102707

@INPROCEEDINGS{7014544,
author={Hu, Vincent C. and Grance, Tim and Ferraiolo, David F. and Kuhn, D. Rick},
booktitle={10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
title={An Access Control scheme for Big Data processing},
booktitle={10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
title={An Access Control scheme for Big Data processing},
year={2014},
volume={},
number={},
pages={1-7},
keywords={Data structures;Boolean functions;Cryptography;Databases;Access Control;Authorization;Big Data;Distributed System},
doi={10.4108/icst.collaboratecom.2014.257649}
}

@InProceedings{dataProtection,
author="Creese, Sadie
and Hopkins, Paul
Expand Down Expand Up @@ -741,8 +741,8 @@ @article{balancingInMedicine

@ARTICLE{8863330,
author={Sun, Pan Jun},
journal={IEEE Access},
title={Privacy Protection and Data Security in Cloud Computing: A Survey, Challenges, and Solutions},
journal={IEEE Access},
title={Privacy Protection and Data Security in Cloud Computing: A Survey, Challenges, and Solutions},
year={2019},
volume={7},
number={},
Expand Down Expand Up @@ -923,3 +923,26 @@ @InProceedings{Lseverity
abstract="The detection and handling of data leakages is becoming a critical issue for organizations. To this end, data leakage solutions are usually employed by organizations to monitor network traffic and the use of portable storage devices. These solutions often produce a large number of alerts, whose analysis is time-consuming and costly for organizations. To effectively handle leakage incidents, organizations should be able to focus on the most severe incidents. Therefore, alerts need to be prioritized with respect to their severity. This work presents a novel approach for the quantification of data leakages based on their severity. The approach quantifies leakages with respect to the amount and sensitivity of the leaked information as well as the ability to identify the data subjects of the leaked information. To specify and reason on data sensitivity in an application domain, we propose a data model representing the knowledge in the domain. We validate our approach by analyzing data leakages within a healthcare environment.",
isbn="978-3-662-43936-4"
}

@article{ABHKKS.BD2023,
author = {Ardagna, Claudio A. and Bena, Nicola and Hebert,
Cedric and Krotsiani, Maria and Kloukinas, Christos and Spanoudakis,
George},
title = {Big Data Assurance: An Approach Based on Service-
Level Agreements},
journal = {Big Data},
year = {2023},
issue = {3},
volume = {11},
}
@inproceedings{ABBJ.ICWS2022,
author = {Anisetti, Marco and Bena, Nicola and Berto,
Filippo and Jeon, Gwanggil},
title = {A DevSecOps-based Assurance Process for Big
Data Analytics},
booktitle = {Proc. of IEEE ICWS 2022},
year = {2022},
month = jul,
address = {Barcelona, Spain},
}

42 changes: 21 additions & 21 deletions experiment.tex
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Expand Up @@ -316,70 +316,70 @@ \subsection{Testing Infrastructure and Experimental Settings}\label{subsec:exper
\begin{adjustbox}{minipage=\linewidth,scale=0.75}
\begin{subfigure}{0.45\textwidth}
\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_20_100_n3}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_20_100_n3}
\caption{\wide 3 vertices}
\label{fig:quality_window_wide_qualitative_n3}
\label{fig:quality_window_wide_perce_n3}
\end{subfigure}
\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_20_100_n4}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_20_100_n4}
\caption{\wide 4 vertices}
\label{fig:quality_window_wide_qualitative_n4}
\label{fig:quality_window_wide_perce_n4}
\end{subfigure}
\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_20_100_n5}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_20_100_n5}
\caption{\wide 5 vertices}

\label{fig:quality_window_wide_qualitative_n5}
\label{fig:quality_window_wide_perce_n5}
\end{subfigure}

\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_20_100_n6}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_20_100_n6}
\caption{\wide 6 vertices}
\label{fig:quality_window_wide_qualitative_n6}
\label{fig:quality_window_wide_perce_n6}
\end{subfigure}

\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_20_100_n7}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_20_100_n7}
\caption{\wide 7 vertices}
\label{fig:quality_window_wide_qualitative_n7}
\label{fig:quality_window_wide_perce_n7}
\end{subfigure}
\end{subfigure}
\begin{subfigure}{0.45\textwidth}
\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_50_80_n3}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_50_89_n3}
\caption{\average 3 vertices}

\label{fig:quality_window_average_qualitative_n3}
\label{fig:quality_window_average_perce_n3}
\end{subfigure}

\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_50_80_n4}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_50_89_n4}
\caption{\average 4 vertices}

\label{fig:quality_window_average_qualitative_n4}
\label{fig:quality_window_average_perce_n4}
\end{subfigure}
\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_50_80_n5}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_50_89_n5}
\caption{\average 5 vertices}
\label{fig:quality_window_average_qualitative_n5}
\label{fig:quality_window_average_perce_n5}
\end{subfigure}

\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_50_80_n6}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_50_89_n6}
\caption{\average 6 vertices}
\label{fig:quality_window_average_qualitative_n6}
\label{fig:quality_window_average_perce_n6}
\end{subfigure}


\begin{subfigure}{\textwidth}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_qual_n7_s7_50_80_n7}
\includegraphics[width=\textwidth]{Images/graphs/window_quality_performance_diff_perce_n7_s7_50_89_n7}
\caption{\average 7 vertices}
\label{fig:quality_window_average_qualitative_n7}
\label{fig:quality_window_average_perce_n7}
\end{subfigure}

\end{subfigure}

\caption{Evaluation of Quality Using the \emph{Qualitative} Metric in a \wide (\cref{fig:quality_window_wide_qualitative_n3,fig:quality_window_wide_qualitative_n4,fig:quality_window_wide_qualitative_n5,fig:quality_window_wide_qualitative_n6,fig:quality_window_wide_qualitative_n7}) and \average (\cref{fig:quality_window_average_qualitative_n3,fig:quality_window_average_qualitative_n4,fig:quality_window_average_qualitative_n5,fig:quality_window_average_qualitative_n6,fig:quality_window_average_qualitative_n7}) Profile Configuration.} \label{fig:quality_window_qualitative}
\caption{Evaluation of Quality Using the \emph{Qualitative} Metric in a \wide (\cref{fig:quality_window_wide_perce_n3,fig:quality_window_wide_perce_n4,fig:quality_window_wide_perce_n5,fig:quality_window_wide_perce_n6,fig:quality_window_wide_perce_n7}) and \average (\cref{fig:quality_window_average_perce_n3,fig:quality_window_average_perce_n4,fig:quality_window_average_perce_n5,fig:quality_window_average_perce_n6,fig:quality_window_average_perce_n7}) Profile Configuration.} \label{fig:quality_window_perce}
\end{adjustbox}
\end{figure}

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