Confidential Computing and Privacy-preserving Technologies for 6G
In CONFIDENTIAL6G, our goal is to ensure secure and private computation in the cloud-edge continuum of 6G by developing modern cryptographic techniques, tools, and libraries. We recognize the importance of implementing privacy preservation and security of data in heterogeneous environments and contexts, and thus, we prioritize researching security enablers. We aim to tackle the potential danger posed by near-future quantum computers, which can break contemporary encryptions, by exploring novel cryptographic operations
Abstract Machines serves as the technical manager of the Confidential6G project, leading the coordination of technical activities and ensuring successful delivery of project objectives. Our expertise in IoT infrastructure and security makes us uniquely positioned to address the privacy challenges in 6G networks.
Cryptographic enablers for confidential computing (FHE, SMPC, TEE) and post-quantum networking. DLT privacy enablers (ZKP). Support for emdedded edge devices and HW.
Confidential Computing via FHE, SMPC and HW TEEs. Colaborative AI/ML. Confidential containers. Remote attestations. Secure enclave abstractions. Secure key distribution.
Post-quantum secure network protocols. Secure data sharing and access control. Private blockchain Smart Contracts, DIDs and VCs. Federated AI/ML orchestration.