CONFIDENTIAL6G aims to
develop cryptographic quantum-resistant protocols and security proofs tools, libraries, mechanisms, and architectural blueprints for confidentiality in 6G.
The project relies on
three main pillars:
- Cryptography: Cryptographic enablers for confidential computing (fully homomorphic encryption, secure multi-party computation, trusted execution environments) and post-quantum networking. Distributed ledger technology privacy enablers (zero knowledge proofs). Support for embedded edge devices and hardware.
- Confidential Computing: via fully homomorphic encryption, secure multi-party computation, and hardware-based trusted execution environments. Collaborative AI/ML. Confidential containers. Remote attestations. Secure enclave abstractions. Secure key distribution.
- Confidential Networking: Post-quantum secure network protocols. Secure data sharing and access control. Private blockchain smart contracts, decentralized identifiers, and verifiable credentials. Federated AI/ML orchestration.
Telefónica's role in this project focuses on the
development of secure and trustworthy systems for distributed and federated learning of AI/ML models, developing mechanisms for enhancing the privacy and security of these algorithms, mitigating some of their existing limitations and vulnerabilities. On the other hand, we also lead a use case on vehicular communication leveraging the trustworthy, secure, and privacy-preserving federated learning mechanisms mentioned before.
