Information and Communications Technology and Policy

Information and Communications Technology and Policy

Information and Communications Technology and Policy ›› 2022, Vol. 48 ›› Issue (5): 25-33.doi: 10.12267/j.issn.2096-5931.2022.05.004

Original article Previous Articles     Next Articles

A brief analysis of the impact of privacy preserving computation on data capitalization flow patterns

ZHOU Jianping1, ZHENG Peitian1, WANG Yunhe2, JIN Chen2, SHI Dai2   

  1. 1. Industrial and Commercial Bank of China Software Development Center, Zhuhai 519085, China
    2. Huakong TsingJiao Information Science (Beijing) Limited, Beijing 100084, China
  • Received:2022-03-10 Online:2022-05-15 Published:2022-05-26

Abstract:

In recent years, both domestic and foreign policies and markets have vigorously promoted the exploration and practice of data flow and transaction, to develop the digital economy. However, due to the core issues such as defining data ownership, effectively controlling the scope of data use, the previous data transaction form has not brought about the prosperity and development of large-scale data flow and the data capitalization market. Through the in-depth analysis of the current situation of data transaction flow and the existing problems, this paper follows the requirements of data security and controllability in the data capitalization flow, which are emphasized in the “Overall Plan for the Comprehensive Reform of Capitalization Market-based Allocation”. Solutions based on privacy-preserving computation is proposed, together with the suggestions for creating a new canonical form for the data capitalization market.

Key words: privacy preserving computation, multi-party computation, data capitalization flow, new canonical form

CLC Number: