This research focuses on privacy-preserving computing and query protocols tailored to diverse resource types and environments. By leveraging encryption techniques and blockchain technologies, the proposed framework allows multiple parties to perform computations without exposing sensitive data. This ensures the protection of data privacy while enhancing computation and query efficiency. The goal is to develop a highly scalable, reliable, and traceable heterogeneous computing privacy service. The research will primarily address four key topics: (1) Trusted privacy computing solutions for diverse computing resources; (2) Privacy-preserving query solutions for encrypted data; (3) Blockchain-based trusted auditing mechanisms; (4) Trusted access mechanisms for multi-party heterogeneous computing environments.

Collaborating Institution: Hunan University