Privacy-Enhancing Decentralized Technologies for Secure Data ProcessingPrivacy-Enhancing Decentralized Technologies for Secure Data Processing

Objective of Work Package:

•Develop blockchain-based and decentralized privacy-enhancing technologies to ensure secure and privacy-preserving data processing in decentralized environments.

•Combine blockchain with federated learning, addressing data security and privacy concerns in machine learning applications.

•Facilitate the transition to quantum resistant cryptographic algorithms, ensuring long-term security in decentralized applications.

WP Contributions:

•Designing secure and private decentralized federated learning frameworks on blockchain.

•Building crypto-agile key derivation schemes for secure blockchain wallet management, ensuring transition to post-quantum cryptographic algorithms.

•Application of derivation schemes in identity wallets aligned to EDS identity management architecture

•Integrating zero-knowledge primitives to preserve privacy while enabling verifiable execution.

•Integration of secret sharing schemes for efficient and supervised computation