Explore the words cloud of the PDP4E project. It provides you a very rough idea of what is the project "PDP4E" about.
The following table provides information about the project.
|Coordinator Country||France [FR]|
|Total cost||3˙362˙457 €|
|EC max contribution||2˙941˙113 € (87%)|
1. H2020-EU.3.7.6. (Ensure privacy and freedom, including in the Internet and enhance the societal, legal and ethical understanding of all areas of security, risk and management)
|Duration (year-month-day)||from 2018-05-01 to 2021-04-30|
Take a look of project's partnership.
|2||COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES||FR (PARIS 15)||participant||798˙162.00|
|3||FUNDACION TECNALIA RESEARCH & INNOVATION||ES (DERIO BIZKAIA)||participant||400˙714.00|
|4||UNIVERSIDAD POLITECNICA DE MADRID||ES (MADRID)||participant||341˙750.00|
|5||KATHOLIEKE UNIVERSITEIT LEUVEN||BE (LEUVEN)||participant||222˙925.00|
|6||UNIVERSITAET DUISBURG-ESSEN||DE (ESSEN)||participant||194˙425.00|
|7||BEAWRE DIGITAL SL||ES (SANT FELIU DE LLOBREGAT)||participant||181˙657.00|
|8||ECLIPSE FOUNDATION EUROPE GMBH||DE (ZWINGENBERG)||participant||135˙773.00|
|9||CA TECHNOLOGIES DEVELOPMENT SPAIN SA||ES (CORNELLA DE LLOBREGAT BARCELONA)||participant||12˙325.00|
PDP4E is an innovation action that will provide software and system engineers with methods and software tools to systematically apply data protection principles in the projects they carry out, so that the products they create comply with the General Data Protection Regulation (GDPR), thus bringing the principles of Privacy and Data Protection by Design to practice. PDP4E will integrate privacy and data protection engineering functionalities into existent, mainstream software tools that are already in use by engineers, focusing on open-source tools that will be integrated in the Eclipse ecosystem, The approach will integrate methods proposed by the privacy engineering community (e.g. LINDDUN, ISO/IEC 27550 Privacy engineering), and the industry of software and system engineering tools (e.g. MUSE, PAPYRUS or OpenCert) using a model driven engineering approach. PDP4E will introduce privacy and data protection into software and system engineering disciplines (Risk Management, Requirements Engineering, Model-Driven Design, and Assurance), which drive the everyday activities of engineers. Results of PDP4E will be assessed by two demonstration pilots on industries where privacy and data protection are especially relevant, one on C-ITS applications and services (connected vehicle application domain) and one on big data on smart grid (smart grid application domain). PDP4E will promote its results in engineering communities, as Eclipse (community of software developers) or IPEN (community of stakeholders with an interest on privacy engineering). An open Alliance for Privacy and Data Protection Engineering is planned as a follow-up of the project, building on that community and the synergies among partners. PDP4E includes 8 partners and has a 36-month duration.
|Risk management tool for data protection and privacy v1||Other||2020-01-13 16:40:35|
|Multistakeholder specification v2||Documents, reports||2020-01-13 16:37:46|
|Assurance tool for data protection and privacy v1||Other||2020-01-13 16:39:31|
|Overall system requirements v1||Documents, reports||2020-01-13 16:37:43|
|Requirements engineering tool for privacy and data protection v1||Other||2020-01-13 16:40:33|
|Specification and design of model-driven design tool for privacy and data protection v1||Documents, reports||2020-01-13 16:39:33|
|Specification and design of assurance tool for data protection and privacy v1||Documents, reports||2020-01-13 16:39:31|
|D8.1 PDP4E website||Websites, patent fillings, videos etc.||2020-01-13 16:37:47|
|Integration report v1||Documents, reports||2020-01-13 16:40:30|
|Assurance methods for data protection and privacy v1||Documents, reports||2020-01-13 16:39:30|
|Specification and design of requirements engineering tool for privacy and data protection v1||Documents, reports||2020-01-13 16:39:31|
|Specification and design of risk management tool for data protection and privacy v2||Documents, reports||2020-01-13 16:40:36|
|Specification and design of risk management tool for data protection and privacy v1||Documents, reports||2020-01-13 16:40:34|
|Requirements engineering methods for privacy and data protection v1||Documents, reports||2020-01-13 16:39:31|
|Specification and design of requirements engineering tool for privacy and data protection v2||Documents, reports||2020-01-13 16:39:30|
|Model-driven design tool for privacy and data protection v1||Other||2020-01-13 16:40:35|
|Methods for data protection model-driven design v1||Documents, reports||2020-01-13 16:39:31|
|Risk management methods for data protection and privacy v1||Documents, reports||2020-01-13 16:40:34|
|Specification and design of model-driven design tool for privacy and data protection v2||Documents, reports||2020-01-13 16:39:31|
|D2.1 Multi-stakeholder specification||Documents, reports||2020-01-13 16:37:46|
|Overall architecture and methodological framework v1||Documents, reports||2020-01-13 16:40:35|
|Specification and design of assurance tool for data protection and privacy v2||Documents, reports||2020-01-13 16:39:32|
Take a look to the deliverables list in detail: detailed list of PDP4E deliverables.
|year||authors and title||journal||last update|
Julio C. Caiza, Yod-Samuel Martin, Danny S. Guaman, JOSE M. Del Alamo, Juan C. Yelmo
Reusable Elements for the Systematic Design of Privacy-Friendly Information Systems: A Mapping Study
published pages: 66512-66535, ISSN: 2169-3536, DOI: 10.1109/access.2019.2918003
|IEEE Access 7||2020-01-14|
Erkuden Rios, Eider Iturbe, Xabier Larrucea, Massimiliano Rak, Wissam Mallouli, Jacek Dominiak, Victor MuntÃ©s, Peter Matthews, Luis Gonzalez
Service level agreement-based GDPR compliance and security assurance in (multi)Cloud-based systems
published pages: 213-222, ISSN: 1751-8806, DOI: 10.1049/iet-sen.2018.5293
|IET Software 13/3||2020-01-14|
Esma AÃ¯meur, NicolÃ¡s DÃaz Ferreyra, Hicham Hage
Manipulation and Malicious Personalization: Exploring the Self-Disclosure Biases Exploited by Deceptive Attackers on Social Media
published pages: , ISSN: 2624-8212, DOI: 10.3389/frai.2019.00026
|Frontiers in Artificial Intelligence 2||2020-01-14|
Andreas Nautsch, Catherine Jasserand, Els Kindt, Massimiliano Todisco, Isabel Trancoso, Nicholas Evans
The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding
published pages: 3695-3699, ISSN: , DOI: 10.21437/interspeech.2019-2647
Avi Szychter (Trialog), Hocine Ameur (Coessi), Antonio Kung (Trialog), HervÃ©
The Impact of Artificial Intelligence on Security: a DualPerspective
published pages: , ISSN: , DOI:
|Computer and Electronics Security Applications Rendez-Vous||2020-01-14|
Digital Trust Technologies (TRUSTECH) â€“ Tecnalia
Digital Lab services â€“ Tecnalia
KU Leuven Centre for IT & IP Law â€“ imec
Smart Grid Challenges through the lens of the European General Data Protection Regulation
published pages: , ISSN: , DOI:
|28th International Conference on Information Systems Development (ISD2019). Track 1: Society, Trust and Ethics in ISD 28th edition||2019-11-25|
Victor MuntÃ©s-Mulero, Oscar Ripolles, Smrati Gupta, Jacek Dominiak, Eric Willeke, Peter Matthews, BalÃ¡zs SomoskÃ¶i
Agile risk management for multi-cloud software development
published pages: 172-181, ISSN: 1751-8806, DOI: 10.1049/iet-sen.2018.5295
|IET Software 13/3||2019-11-25|
Victor Muntes-Mulero Â´
, Jacek Dominiakâ€
, Elena Gonzalez Â´
Beawre Digital SL
Model-driven Evidence-based Privacy Risk Controlin Trustworthy Smart IoT Systems
published pages: , ISSN: , DOI:
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