Trusted Data Framework for Data Exchanges

Overview

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.

  • Trusted Data Framework for Data Exchanges 0
Research completion
2024
Commercialisation opportunities
IP licensing, Technology co-development
Problem addressed

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.

Innovation
  • A data exchange framework based on polynomial commitment cryptography and and Trusted Execution Environment (TEE) that facilitates data transactions by enhancing trust between data buyers and sellers.
  • A single Polynomial Commitment Multiple Access (PCMA) token that streamlines key management for accessing multiple encrypted datasets from multiple sources.
  • Data evaluation within Trusted Execution Environment (TEE) to ensure privacy protection.
Key impact
  • Addresses trust issues in data exchanges, facilitating market growth.
  • Offers single-key management for multiple datasets, enhancing user experience and security.
  • Supports comprehensive data evaluation before payment, safeguarding buyer interests.
  • Enhances efficiency and privacy protection in data transaction platforms.
Application
  • Facilitate effective management of data assets on data exchange platform
  • Make access to data assets more secure and efficient on data exchange platform
  • Achieve effective data quality assessment while protecting the security of data assets

Patent

  • US App. No. 18/764,409; CN App. No. 202480001870.2
Hong Kong Applied Science and Technology Research Institute (ASTRI)

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.

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