Dear all,
We have submitted the paper „Technical Threat Intelligence Analytics: What and How to Visualize for Analytic Process“ to the 24th International Conference ELECTRONICS 2020
Abstract: Visual Analytics uses data visualization methods for enabling compelling analysis of data by engaging graphical and visual representation. In the domain of cybersecurity, convincing visual representation of data enables to ascertain valuable observations that allow the domain experts to construct efficient cyberattack mitigation strategies and provide useful decision support. In this paper, we present a survey of the visual analytics tools and methods in the domain of cybersecurity. We explore and discuss Technical Threat Intelligence visualization tools using the Five Question Method. We conclude the analysis of the works using Moody’s Physics of Notations, and VIS4ML ontology as a methodological background of visual analytics process.
This paper is still under evaluation.
If it gets accepted, we will acknowledge SPARTA.
Best,
Algimantas Venčkauskas
Kauno technologijos universitetas
Dear All,
We submitted Sparta paper (attached) to a journal in January 2020.
Title: Securing Organization’s Data: A Role-Based Authorized Keyword Search Scheme with Efficient Decryption
By: Nazatul Haque Sultan, Maryline Laurent, Vijay Varadharajan.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Maryline Laurent
Maryline Laurent
Professor, Télécom SudParis
Head of R3S team, CNRS UMR5157 SAMOVAR lab
Cofounder of the chair Values and Policies of Personal Information
9 rue Charles Fourier, 91011 EVRY
+33 (0)160764442
Dear all,
we plan to submit the survey paper “Security and Privacy Protection for
Intelligent Infrastructures in the Post-Quantum Era” to the journal IEEE
COMMUNICATIONS SURVEYS & TUTORIALS.
Please find the compressed manuscript version in the attachment. The paper is in
line with WP6 - Task 6.5 Privacy-by-Design and does not contain any
sensitive information.
If the paper will be accepted and no objections will be raised by diss.
committee, we would like to acknowledge to SPARTA.
Thank you.
Best regards,
Lukas Malina
--
doc. Ing. Lukáš Malina, Ph.D.
E-mail: malina(a)feec.vutbr.cz
Brno University of Technology
Faculty of Electrical Engineering and Communication
Department of Telecommunications
Technicka 12
616 00 Brno
Czech Republic
Dear all,
we plan to submit the paper “Privacy ABCs: Now Ready for Your Wallets!”
to Workshop on Privacy in the Electronic Society which is held in
conjunction with the ACM CCS conference.
Please find the manuscript version in the attachment. The paper is in
line with WP6 - Task 6.5 Privacy-by-Design and does not contain any
sensitive information.
If the paper will be accepted and no objections will be raised by diss.
committee, we would like to acknowledge to SPARTA.
Thank you.
Best regards,
Lukas Malina
--
doc. Ing. Lukáš Malina, Ph.D.
E-mail: malina(a)feec.vutbr.cz
Brno University of Technology
Faculty of Electrical Engineering and Communication
Department of Telecommunications
Technicka 12
616 00 Brno
Czech Republic
Dear colleagues,
We (IST) recently had four papers accepted with acknowledgment to SPARTA:
Luis Dias, Simão Valente and Miguel Correia. Go With the Flow: Clustering Dynamically-Defined NetFlow Features for Network Intrusion Detection with DYNIDS. In Proceedings of the 19th IEEE International Symposium on Network Computing and Applications (NCA), Nov. 2020.
Arnaldo Gouveia and Miguel Correia. Towards Quantum-Enhanced Machine Learning for Network Intrusion Detection. In Proceedings of the 19th IEEE International Symposium on Network Computing and Applications (NCA), Nov. 2020.
Gilberto Gomes, Luis Dias and Miguel Correia. CryingJackpot: Network Flows and Performance Counters against Cryptojacking. In Proceedings of the 19th IEEE International Symposium on Network Computing and Applications (NCA), Nov. 2020.
Tiago Fernandes, Luis Dias and Miguel Correia. C2BID: Cluster Change-Based Intrusion Detection. In Proceedings of Trustcom 2020, December 2020.
Best regards,
Miguel Correia
------------------------------
Miguel P. Correia
Instituto Superior Técnico / Universidade de Lisboa
INESC-ID
URL: http://www.gsd.inesc-id.pt/~mpc/ <http://www.gsd.inesc-id.pt/~mpc/>
Rua Alves Redol, 9
1000-029 Lisboa
Portugal
Tel.: +351 213 100 278
Email: miguel.p.correia(a)tecnico.ulisboa.pt <mailto:miguel.p.correia@tecnico.ulisboa.pt>
------------------------------
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