Dear All,
I have prepared a paper on contact tracing for COVID-19. The paper has been made a report here (https://arxiv.org/abs/2010.13462) and I will submit it to a journal shortly. FYI. The title and abstract are the following:
---------------------
Another Look at Privacy-Preserving Automated Contact Tracing
In the current COVID-19 pandemic, manual contact tracing has been proven very helpful to reach close contacts of infected users and slow down virus spreading. To improve its scalability, a number of automated contact tracing (ACT) solutions have proposed and some of them have been deployed. Despite the dedicated efforts, security and privacy issues of these solutions are still open and under intensive debate. In this paper, we examine the ACT concept from a broader perspective, by focusing on not only security and privacy issues but also functional issues such as interface, usability and coverage. We first elaborate on these issues and particularly point out the inevitable privacy leakages in existing BLE-based ACT solutions. Then, we propose a venue-based ACT concept, which only monitors users' contacting history in virus-spreading-prone venues and is able to incorporate different location tracking technologies such as BLE and WIFI. Finally, we instantiate the venue-based ACT concept and show that our instantiation can mitigate most of the issues we have identified in our analysis.
---------------------
Cheers
Qiang
Dear all,
I would like to inform that partners involved in the task 6.5 will
submit a paper to the book “Deep Diving into Data Protection 1979-2019:
Celebrating 40 Years of Privacy and Data Protection at the CRIDS”.
Title of the article: Privacy-by-Design in Intelligent Infrastructures
The aim of this paper is to apply the data protection principles in the
intelligent infrastructures and analyze how these principles could be
fulfilled using privacy enhancing technologies.
If the dissemination committee raises no objections, we would like to
acknowledge SPARTA.
Best regards,
Manon
--
MANON KNOCKAERT
Chercheuse
Centre de Recherches Information, Droit et Société
T. +32 (0)81 724 798
F. +32 (0)81 725 202
manon.knockaert(a)unamur.be <mailto:manon.knockaert@unamur.be>
http://www.unamur.be
Université de Namur
Rue de Bruxelles 61 - 5000 Namur
Belgique
Let's respect the environment together.
Only print this message if necessary!
Dear all,
I want to inform that we have submitted a paper to Journal of Business & Information Systems Engineering (BISE, by Springer <https://www.springer.com/journal/12599>). If accepted we will acknowledge SPARTA project.
Title of the article: Model-Driven GDPR Compliance Management in Business Processes
Authors: Jake Tom, Raimundas Matulevicius, and Mari Seeba
Abstract: Complying with the principles of the GDPR implies significant operational challenges. There is a need for tools and techniques to support analysis of complex textual bodies of regulations such as the GDPR. In this paper, we present a model-driven approach based on UML and BPMN to capture coarse-grained requirements of the GDPR along multiple perspectives - data protection impact assessment, data breach and organizational business process compliance. The models are used to develop templates of key report artifacts and provide insights into necessary compliance activities. By breaking down the regulation into modeled components, it becomes easier for practitioners to make sense of the regulation by reducing their need to process large bodies of regulation text. Additionally, the insights provided by the modeling approach to business process compliance highlight key areas of process improvement for compliance to the GDPR. The approach is supported by a software tool called the Data Protection Officer Tool.
Best greetings,
Raimundas
Dear All,
We submitted Sparta/Safair relevant paper to Entropy journal of MDPI.
Title: Can Humans Understand Machines? The Principles and Advantages of
Explainable Artificial Intelligence
By: Szczepanski, Choras, Pawlicki, Pawlicka.
Abstract:
Since its creation, Artificial Intelligence has found innumerable
applications and become ubiquitous in everyday lives. Increasingly,
intelligent systems are being trusted with decision making; from making
unnoticeable, minor choices to determining people’s fates, e.g. as
part of predictive policing. This fact raises serious concerns about the
explainability of the systems, that is constructing the solutions is such
a way that enables humans to comprehend their results. This paper
introduces the concept of Explainable Artificial Intelligence (xAI), along
with its principles and methodology. Then, it proposes the general
taxonomy of the xAI solutions, followed by an overview of some of the
market products that utilize it.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Michal Choras
Dear all,
UNamur wrote a paper titled "GDPR and Automated individual
decision-making: Fair processing v. Fair result". In order to respect
the deadline set by the GA, please find enclosed the complete draft of
the publication.
If the dissemination committee raises no objections, we would like to
acknowledge SPARTA.
Best regards,
Manon
--
MANON KNOCKAERT
Chercheuse
Centre de Recherches Information, Droit et Société
T. +32 (0)81 724 798
F. +32 (0)81 725 202
manon.knockaert(a)unamur.be <mailto:manon.knockaert@unamur.be>
http://www.unamur.be
Université de Namur
Rue de Bruxelles 61 - 5000 Namur
Belgique
Let's respect the environment together.
Only print this message if necessary!
Dear All,
we submitted the paper /dg2pix: Pixel-Based Visual Analysis of Dynamic
Graphs/ to the Visualization in Data Science (VDS at IEEE VIS 2020). We
request to acknowledge SPARTA if the paper is accepted.
* Abstract: "Presenting long sequences of dynamic graphs remains
challenging due to the underlying large-scale and high-dimensional
data. We propose dg2pix, a novel pixel-based visualization
technique, to visually explore temporal and structural properties in
long sequences of large-scale graphs. The approach consists of three
main steps: (1) the multiscale modeling of the temporal dimension;
(2) unsupervised graph embeddings to learn low-dimensional
representations of the dynamic graph data; and (3) an interactive
pixel-based visualization to explore the evolving data at different
temporal aggregation scales simultaneously. dg2pix provides a
scalable overview of a dynamic graph, supports the exploration of
long sequences of high-dimensional graph data, and enables the
identification and comparison of similar temporal states. We show
the applicability of the technique to synthetic and real-world
datasets, demonstrating that temporal patterns in dynamic graphs can
be easily identified and interpreted over time. Our dg2pix
contributes a suitable intermediate representation between node-link
diagrams at the high detail end, and matrix representations on the
low detail end."
Best Regards,
Eren Cakmak
--
Research Associate
Department of Computer and Information Science
Data Analysis and Visualization Group
78457 Konstanz, Germany
Website: http://infovis.uni.kn/~cakmak
Phone: +49 (0)7531 88 2507
Room: D334
Dear,
LEONARDO and CETIC submitted a joint paper to the CyberCert 2020
workshop that has been accepted for publication. The paper reports on
joint work in WP11 and WP5 (CAPE) and acknowledges SPARTA.
Title: Towards Incremental Safety and Security Requirements
Co-Certification
Authors: Morgagni Andrea, Massonet Philippe, Dupont Sébastien,
Grandclaudon Jeremy
Abstract: The continuous technological developments and the growing
connectivity of applications and infrastructures is leading to the new
threats to the technological world in particular to the possibility of
considering certain threats in environments that were not previously
touched by them. Now that many safety critical systems are becoming
connected, they need to be protected from security threats. Safety and
security engineering and certification evaluation are processes that
have evolved independently. However now that security issues may impact
safety they need to be analysed together, yet the processes must become
more flexible to encourage certification when it is not mandatory. In
this paper we sketch an approach for incremental certification of
security requirements with Common Criteria in the general context of
security/safety co-engineering and certification. The approach is
illustrated with a case study.
Best regards,
Philippe
--
*Philippe Massonet*
/Scientific Coordinator/
CETIC
Avenue Jean Mermoz, 28
B-6041 Charleroi
Mobile: +32 472 56 98 31
e-mail: philippe.massonet(a)cetic.be <mailto:philippe.massonet@cetic.be>
https://www.cetic.be/
/
/
Dear All,
we have submitted a research paper entitled “SEkey: A Distributed Hardware-based Key Management System" to the 18th IEEE EAST-WEST DESIGN & TEST SYMPOSIUM (EWDTS-2020) that will be held online from September 4th to 7th.
In the paper we describe the design and development of a cryptographic key management system that leverage on the characteristics and functionalities of the SEcube Open Security Platform.
Please find the pre-final version of our paper attached to this email.
If the dissemination committee raises no objections, we would like to acknowledge the SPARTA project.
Best regards,
Nicolò MAUNERO
Politecnico di Torino - Dipartimento di Automatica e Informatica
CINI - Laboratorio Nazionale Cybersecurity
Sede di Torino c/o LINKS - Leading Innovation & Knowledge for Society
Via Pier Carlo Boggio 61, I-10129 Torino - Italy
Tel: +39 334 2555532
nicolo.maunero(a)polito.it <mailto:nicolo.maunero@polito.it>
Skype: nicolo.maunero
Dear All,
we submitted the paper /Multiscale Snapshots: Visual Analysis of
Temporal Summaries in Dynamic Graphs/ to the IEEE Transactions on
Visualization and Computer Graphics (TVCG). We request to acknowledge
SPARTA if the paper is accepted.
* Abstract: "The overview-driven visual analysis of large-scale
dynamic graphs poses a major challenge. We propose Multiscale
Snapshots, a visual analytics approach to analyze temporal summaries
of dynamic graphs at multiple temporal scales. First, we recursively
generate temporal summaries to abstract overlapping sequences of
graphs into compact snapshots. Second, we apply graph embeddings to
the snapshots to learn low-dimensional representations of each
sequence of graphs to speed up specific analytical tasks (e.g.,
similarity search). Third, we visualize the evolving data from a
coarse to fine-granular snapshots to semi-automatically analyze
temporal states, trends, and outliers. The approach enables to
discover similar temporal summaries (e.g., recurring states),
reduces the temporal data to speed up automatic analysis, and to
explore both structural and temporal properties of a dynamic graph.
We demonstrate the usefulness of our approach by a quantitative
evaluation and the application to a real-world dataset."
Best Regards,
Eren Cakmak
--
Research Associate
Department of Computer and Information Science
Data Analysis and Visualization Group
78457 Konstanz, Germany
Website: http://infovis.uni.kn/~cakmak
Phone: +49 (0)7531 88 2507
Room: D334
Dear All,
we have submitted a research paper entitled "Hardware-based
Capture-the-Flag Challenges" to the 18th IEEE EAST-WEST DESIGN & TEST
SYMPOSIUM (EWDTS-2020) that will be held online from September 4th to 7th.
The paper has been written in four hands together with Prof. Paolo Prinetto
(in cc).
In the paper, we focus on hardware-based CTF challenges, providing a formal
definition and an original comprehensive taxonomy. We also tell our
experiences gathered in preparing and delivering several hardware-based
challenges in significant events and training courses.
Please find the pre-final version of our paper attached to this email.
If the dissemination committee raises no objections, we would like to
acknowledge the SPARTA project.
Best Regards,
*Gianluca ROASCIO*
*CINI* - Laboratorio Nazionale Cybersecurity
Sede di Torino c/o LINKS - Leading Innovation & Knowledge for Society
Via Pier Carlo Boggio 61, I-10129 Torino TO - Italy
Tel: +39 334 3762427
gianluca.roascio(a)consorzio-cini.it
Skype: gianluca.roascio
www.consorzio-cini.it