ASTRI's Trusted Data Framework (TDF) leverages cryptography and Trusted Execution Environment (TEE) to address trust issues between data buyers and sellers in the data market. It ensures secure data evaluation without compromising privacy and simplifies multi-key management, enabling cost-effective and secure data exchanges.
MSMEs face trust and privacy challenges in data transactions. Buyers struggle to evaluate data comprehensively before purchase, while sellers fear unauthorized replication. Additionally, managing multiple keys for encrypted datasets increases operational complexity and security risks.
Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under four Technology Divisions: Trust and AI Technologies; Communications Technologies; IoT Sensing and AI Technologies and Integrated Circuits and Systems. It is applied across six core areas which are Smart City, Financial Technologies, New-Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits and Metaverse.