NG-SC
NG-SC NG-SC is a protocol that focuses on providing user privacy while incentifying users to share existing sensor data. A decentralized market is put in place to provide financial incentives for users contributing existing data in order to avoid the high infrastructural investments commonly needed to operate a smart city. Motivation for the project: Sensor […]
MorphMetro
MorphMetro MorphMetro aims to create an open-source solution for secure data exchange and analysis in quality assurance across various industries. The project focuses on developing a system for the secure, privacy-preserving transfer and analysis of measured data, utilizing emerging technologies and standards, like homomorphic encryption, European Blockchain Service Infrastructure (EBSI) and Alastria blockchain. The project […]
LED-UP
LED-UP The LED-UP project introduces a solution designed to enhance privacy, security, and user control over personal data in the digital space. By integrating state-of-the-art decentralised technologies, including decentralised digital identities and advanced encryption methods, LED-UP aims to establish a new standard for data governance and privacy protection. Central to the project’s philosophy is empowering […]
GUEDHS
GUEDHS The GUEDHS project will underscore the significance of collaborative European health initiatives and data-sharing frameworks, particularly those advocated by the European Health Data Space (EHDS). Promptly will bring a federated learning framework, while Instituto Pedro Nunes (IPN) will adapt a cybersecurity tool, for fast deployment of a Federated Network in action. This solution will enable data […]
EIDCMP
eIdcmp The eIDAS compliant issuer platform enables professional associations to issue and manage membership credentials as eIDAS compliant verifiable credentials Motivation for the project: The project aims to create a user interface layer to the Trustchain ecosystem, supported on already existing DID and issuer, verifier and holder infra tools from the ecosystem. Our main goal […]
DUME
DUME Project DUME goal is to redefine digital media sharing by prioritizing user privacy, security, and control. Born from the Theia Vision digital platform, DUME addresses the critical need for data sovereignty in our increasingly digital world. Central to its mission is the transition from the traditional centralized data handling model to a decentralized architecture, […]
DID-IMP
DID-IMP DID-IMP is leveraging blockchain technologies to remove the need for a classical hierarchical structure with players like the Certificate Authority (CA) and the Registration Authority (RA). We replace these administrator-like trusted third parties (RA & CA) with a feeless blockchain smart contract. The blockchain is also used as a Certificate Store on which services […]
DOOF
DOOF DOOF is a groundbreaking project aimed at revolutionizing personal data governance and establishing the groundwork for a resilient data economy. At its core, DOOF introduces a versatile framework that promotes the development of privacy-enhancing technologies, ensuring compliance with the General Data Protection Regulation (GDPR) and Data Act, thus, enabling individuals to control their data […]
DGUARD
DGUARD DGUARD offers a comprehensive open-source framework designed to facilitate secure data sharing while prioritizing user privacy and security. Our framework incorporates essential features such as data segmentation, provenance tracking, and robust auditability. Its modular design allows for easy integration via APIs or SDKs, and includes the following key components: Consent Management System: Utilizing […]
AURORA Minds
AURORA Minds AURORA MINDS implements a multi-layered security framework, including Identity Management (IdM) and Privacy-Enhancing Technologies (PETs). This approach enhances data security, strictly controls access to sensitive information, and ensures compliance with data privacy regulations. The project leverages machine learning techniques such as federated learning and local differential privacy to protect sensitive user data during […]
