CORDIS

This document will describe the risk management method, including all methodological elements besides the tool. The document will be revised in M23 to adapt the method to the feedback received from stakeholders.

This document will specify the prioritized technical requirements to be satisfied by the PDP4E tools. A revised version will be delivered in M23 following the first validation.

This document will describe the data-protection model-driven design method, including all methodological elements besides the tool. The document will be revised in M23 to adapt the method to the feedback received from stakeholders.

This document will provide the detailed design of the tool for data protection and privacy model-driven design tool. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This document will report on the interoperability among the different tools delivered, proposing changes for the second development iteration. It will be a first version on Month 18, after validation, it will be a v2 by the Month 33, at the end of the project.

This document will provide the detailed design of the tool for data protection and privacy model-driven design tool. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This document will describe the assurance method for data protection and privacy, including all methodological elements besides the tool. The document will be revised in M23 to adapt the method to the feedback received from stakeholders.

This document will collect the needs expressed by the different PDP4E stakeholders, including the customers targeted by the demonstration pilots (T2.1) and the developers from the open-source community (T2.1), as well as the legal and ethical constraints identified in T2.2.

This document will provide the detailed design of the tool for data protection and privacy assurance tool. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This document will describe the requirements engineering method, including all methodological elements besides the tool. The document will be revised in M23 to adapt the method to the feedback received from stakeholders.

This document will provide the detailed design of the tool for data protection and privacy risk management. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This document will provide the detailed design of the tool for data protection and privacy assurance tool. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This document will provide the detailed design of the tool for data protection and privacy requirements engineering. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This document will provide the detailed design of the tool for data protection and privacy requirements engineering. A first version will be delivered in M14, which will be revised in M18 and M33 introducing the insights from the validation activities.

This deliverable will detail the architecture of the software tools, their interfaces and data models, as well as the underlying methodological framework. A revision will be delivered in M23 to introduce the changes derived from the validation.

This document will collect the needs expressed by the different PDP4E stakeholders, including the customers targeted by the demonstration pilots (T2.1) and the developers from the open-source community (T2.1), as well as the legal and ethical constraints identified in T2.2. This deliverable will encompass the modifications according to use case Automotive.

This document will report on the interoperability among the different tools delivered, proposing changes for the second development iteration. It will be a first version on Month 18, after validation, it will be a v2 by the Month 36, at the end of the project.

This is the project’s public website.

This is the source code of the tool. An evolved version will be delivered in M33.

This is the source code of the tool. An evolved version will be delivered in M33.

This is the source code of the tool. An evolved version will be delivered in M33.

This is the source code of the tool. An evolved version will be delivered in M33.

Author(s): Esma Aïmeur, Nicolás Díaz Ferreyra, Hicham Hage

Published in: Frontiers in Artificial Intelligence, Issue 2, 2019, ISSN 2624-8212

DOI: 10.3389/frai.2019.00026

Author(s): Victor Muntés-Mulero, Oscar Ripolles, Smrati Gupta, Jacek Dominiak, Eric Willeke, Peter Matthews, Balázs Somosköi

Published in: IET Software, Issue 13/3, 2019, Page(s) 172-181, ISSN 1751-8806

DOI: 10.1049/iet-sen.2018.5295

Author(s): Erkuden Rios, Eider Iturbe, Xabier Larrucea, Massimiliano Rak, Wissam Mallouli, Jacek Dominiak, Victor Muntés, Peter Matthews, Luis Gonzalez

Published in: IET Software, Issue 13/3, 2019, Page(s) 213-222, ISSN 1751-8806

DOI: 10.1049/iet-sen.2018.5293

Author(s): Julio C. Caiza, Yod-Samuel Martin, Danny S. Guaman, JOSE M. Del Alamo, Juan C. Yelmo

Published in: IEEE Access, Issue 7, 2019, Page(s) 66512-66535, ISSN 2169-3536

DOI: 10.1109/access.2019.2918003

Author(s): Andreas Nautsch, Catherine Jasserand, Els Kindt, Massimiliano Todisco, Isabel Trancoso, Nicholas Evans

Published in: Interspeech 2019, 2019, Page(s) 3695-3699

DOI: 10.21437/interspeech.2019-2647

Smart Grid Challenges through the lens of the European General Data Protection Regulation

Author(s): Jabier Martinez Alejandra Ruiz Javier Puelles Digital Trust Technologies (TRUSTECH) – Tecnalia Derio, Spain Ibon Arechalde Digital Lab services – Tecnalia Derio, Spain Yuliya Miadzvetskaya KU Leuven Centre for IT & IP Law – imec Leuven, Belgium

Published in: 28th International Conference on Information Systems Development (ISD2019). Track 1: Society, Trust and Ethics in ISD, Issue 28th edition, 2019

The Impact of Artificial Intelligence on Security: a DualPerspective

Author(s): Avi Szychter (Trialog), Hocine Ameur (Coessi), Antonio Kung (Trialog), Hervé Daussin (Coessi)

Published in: Computer and Electronics Security Applications Rendez-Vous, 2019

Model-driven Evidence-based Privacy Risk Controlin Trustworthy Smart IoT Systems

Author(s): Victor Muntes-Mulero ´ ∗ , Jacek Dominiak† , Elena Gonzalez ´ ‡ Beawre Digital SL Barcelona, Spain { ∗victor.muntes, † jacek.dominiak, ‡ elena.gonzalez}@beawre.com David Sanchez-Charles Trialog SA Paris, France david.sanchez@trialog.com

Published in: http://ceur-ws.org/, 2019