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 individuals, enabling them to manage their digital identities and data with unprecedented security and transparency. This user-centric approach addresses the growing concerns over data misuse and privacy violations, offering a robust framework for secure data exchange and interaction within digital ecosystems.

LED-UP’s framework is adaptable across various sectors, making it a versatile solution for improving digital interactions in healthcare, finance, education, and humanitarian settings, where privacy and trust are crucial.

The project mainly focuses on sensitive contexts, such as aiding displaced individuals in refugee camps by providing them with secure and private means to access essential services.

Moreover, LED-UP is designed to seamlessly integrate with existing software ecosystems, enhancing them with its advanced privacy and security features without disrupting current operations. This compatibility ensures that organisations can adopt LED-UP’s technologies without significant overhauls, facilitating a smoother transition towards more secure and privacy-conscious digital practices.

LED-UP represents a visionary step towards a more secure, private, and user-controlled digital future. Its implementation promises to redefine the standards of digital privacy and security, paving the way for a more trustworthy and user-empowering digital environment.

Repositories:

GitHub: https://github.com/NGI-TRUSTCHAIN/LED-UP

Motivation for the project: The proposal introduces essential technology blocks to enhance TrustChain's ecosystem, addressing critical privacy and data sovereignty issues. It's necessary to ensure user-centric control and governance over data, aligning with modern digital identity and encryption standards for secure, transparent interactions.
Generic use case description: Enable secure, user-controlled data exchange in sensitive environments, leveraging decentralised identity and encryption to ensure privacy and trust in digital transactions within the TrustChain ecosystem.
Essential functionalities: A decentralised framework focusing on user privacy and data governance, using tools like Decentralized Digital Identity and Homomorphic Encryption to ensure user control over data. It offers secure and transparent data sharing in sensitive contexts like refugee camps where user-centric solutions are lacking.
How these functionalities can be integrated within the software ecosystem: They can be integrated by deploying the proposed decentralised framework on top of existing centralised solutions, enhancing them with additional layers of privacy and security. It allows for scalable and adaptable integration across various sectors, promoting a transition towards a more user-centric and privacy-focused digital environment.
Gap being addressed: Led-Up addresses the need for enhanced scalability, security, and interoperability. It is beneficial in the health sector for underserved communities. It tackles the lack of a secure framework for data governance and privacy within the TrustChain ecosystem, which limits trust and transparency in digital transactions.
Expected benefits achieved with the novel technology building blocks: The new framework improves privacy, security, and user control over data, creating a transparent and secure digital environment that promotes trustworthy data exchanges. Improved security, greater scalability, and enhanced interoperability bring broader adoption and more robust network resilience.
Potential demonstration scenario: A potential demonstration scenario could involve a refugee camp where the technology enables secure, private data sharing among individuals and organisations, demonstrating its utility in sensitive, real-world applications.