PoSeID-on - Protection and control of Secured Information by means of a privacy enhanced Dashboard

01/05/2018 to 31/10/2020


PoSeID-on is aimed at developing a novel Privacy Enhancing Dashboard for personal data protection supporting the pillars of the new EU’s General Data Protection Regulation (GDPR) with regards to digital security, that will be implemented within a single, integrated tool, adopting blockchain and smart contracts technology.

It will provide targeted benefits for final end users by enabling data protection by design and by default. In particular, the project will deliver an easily accessible and simple privacy enhancing dashboard useful for monitoring, keeping track record, and controlling all aspects related to data subjects personal data, privacy settings, eventually deciding to authorize/un-authorize personal data transfers. Thus, the primary aim of PoSeID-on is empowering data subjects in having a concise, transparent, intelligible and ease access, as well as tracking, control and management of their personal data processed by public and private organizations, acting as data controllers and/or data providers.

They will be able to make conscious decisions on who can process their own data based on data controller trustworthiness, enabling or revoking permissions, asking for definitely remove their personal data or restricting the data to be shared following the data minimisation principle.

A risk management framework will be integrated into the privacy enhancing dashboard. As secondary aim, PoSeID-on will support the compliance of technological services and products with the GDPR regarding personal data, by integrating advanced ICT-based tools within a replicable and scalable frame, which can be implemented within a broad spectrum of products and services. Moreover, personal data exchanges across data subjects and different organisations (public & private) or among organizations in case of involved third parties will take place in a secure and privacy-compliant way, generating benefits thanks to the adoption of more streamlined procedures.


Who is the project designed for?

Public Sector Organizations, IT SMEs, Researchers, Security Software Industry, End User Organizations, Policy & Regulators, ICT Sectors, Academia.


How will your project benefit the end-user?

PoSeID-on will develop and deliver an innovative intrinsically scalable platform, as an integrated and comprehensive solution aimed to safeguard the rights of data subjects , exploiting  the cutting-edge technologies of Smart Contracts and Blockchain,  as well as support organizations in data management and processing while ensuring GDPR compliance.

Friday, 11 January, 2019

Project type:


EU to strenghten its expertise in cybersecurity research, technology and industrial developmen

Europe is stepping up its protection against cybersecurity threats, and is discussing a new structure of pool of expertise which will help secure the digital single market and increase the EU’s autonomy in the area of cybersecurity.

Europe is currently working on the establishment of a top knowledge base for cybersecurity and a network of national cybersecurity coordination centres called the European Cybersecurity Industrial, Technology and Research Centre and the Network of National Coordination Centres.

Future Events

Cyber Insurance and its Contribution to Cyber Risk Mitigation - Leiden March 25-29
25/03/2019 to 29/03/2019

The rise in both the scale and severity of recent cyberattacks demands new thinking about cybersecurity risk and the mitigation and transfer of that risk. Cyber insurance is one potential way to manage risk by transferring damage liability, but the cyber insurance market is immature and the understanding and actuarial knowledge of cyber-risk is currently underdeveloped.

e-SIDES workshop 2019

e-SIDES workshop: Towards Value-Centric Big Data: Connect People, Processes and Technology


2 April 2019

10am to 4pm


e-SIDES is a research project funded by European Commission H2020 Programme that deals with the ethical, legal, social and economic implications of privacy-preserving technologies in different big data context.