"2023 Global Privacy Computing Report" is officially released!

On November 23, the second Global Digital Trade Expo, co-sponsored by the Zhejiang Provincial People's Government and the Ministry of Commerce, and co-organized by the Hangzhou Municipal People's Government, the Zhejiang Provincial Department of Commerce, and the Trade Development Bureau of the Ministry of Commerce, was held at the Hangzhou International Expo Center.

The theme of this digital trade fair is "Digital Trade, Connecting the World". About 1,000 representatives from China and all walks of life from 63 countries and regions, 68 international organizations and overseas business associations attended the opening ceremony.

The "2023 Global Privacy Computing Report" (Download) was officially released at the conference's Data Element Governance and Marketization Forum.

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Privacy computing is one of the key technologies for the safe circulation of data elements, and its development is of great significance to the release of the value of data elements. The report is based on a global perspective, conducts in-depth research on the latest progress of the global privacy computing industry, and presents the development status and development status of the privacy computing industry in 2023 through several dimensions such as global policy changes, market environment, market participants, business models, technical routes, and future trends. Development trends, reveal the important role of privacy computing in the secure circulation of data elements, and jointly promote the vigorous development of the data element market!

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1. 2023 Global Privacy Computing Map

In 2023, the privacy computing industry has made new progress in policy, technology, industry, market and other aspects. Technically, federated learning has developed rapidly, and there have also been new progress in localization substitution and interconnection. Applications have also gradually evolved from finance, Traditional scenarios such as government affairs, communications, the Internet, and medical care have expanded to emerging fields such as energy, industry, education, advertising, and cross-border circulation. At the same time, under the new situation of accelerating the release of the value of data elements, privacy computing has gradually become important to support the circulation platform of data elements. Technical facilities.

The report presents the 2023 version of the latest industry map from three levels: underlying support of privacy computing, product supply, and product demand.

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2. Policies related to privacy computing at home and abroad

In order to improve the data element governance system and ensure the security of data element circulation, the National Data Administration was formally established in March this year and unveiled on October 25. At the same time, a series of data security-related policy documents were released this year. The report sorts out domestic policies related to privacy computing technology and applications this year. At the same time, the European Union, the United Kingdom, the United States, Canada and other countries have also introduced guidelines and policies to promote the innovation and application of privacy computing technology.

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3. Latest developments in privacy computing technology

As an interdisciplinary technology, privacy computing takes cryptography as the core theory and combines knowledge from multiple fields such as big data, artificial intelligence, and blockchain. Among these technical routes, cryptography-based privacy computing technology represented by secure multi-party computing, privacy computing technology derived from the integration of artificial intelligence and privacy protection technology represented by federated learning, and trustworthy execution environment-based privacy computing technology represented by The privacy computing technology of trust hardware is currently the three mainstream key technologies in privacy computing.

The report presents the latest progress in MPC, FL, TEE and other technologies.

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4. Compliance challenges of privacy computing technology

The "dirty data" or "poisonous data" used in the privacy calculation process will bring the risk of "data poisoning", leading to inaccurate calculation results, and may even leak other legitimate data information. In addition, if the data source is illegal, you will face infringement liability in the later use of privacy computing technology. The compliance of data sources will become one of the key issues to be solved.
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5. Application market dynamics of privacy computing

In recent years, the application status of privacy computing industry has shown a growing trend. It is mainly used in finance, government affairs, medical, communications, Internet and other industries to meet the privacy protection of user data and enterprise data in different industries. In addition to being used in various industries, cross-industry and cross-field data circulation platforms have also been widely developed. Privacy computing technology enables data sharing and transactions by encrypting and processing data, which provides a higher level of data circulation platforms. The flexibility and reliability make data transactions more convenient and secure.

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6. The overall trend of open source privacy computing

As a rapidly developing and security-focused technology field, open source technology can effectively promote the development, popularization and application promotion of private computing technology, and is also conducive to providing more references, solutions and paradigms in industry standardization and interconnection, thus Further promote the development and prosperity of the industry. Open source frameworks and application tools for privacy computing at home and abroad are constantly emerging. Open source projects cover various technical fields such as secure multi-party computing, federated learning, trusted execution environment, and homomorphic encryption.

The overall trend of privacy computing open source projects in 2023:
Fully integrated: Fully integrated with other technologies such as blockchain, graph federation, large models, and big data to form a more comprehensive Solution;
Continuous optimization: Aiming at the actual problems in application implementation, we will continue to optimize and improve computing performance, interconnection, deployment and operation and maintenance to better adapt to real application scenarios;
Aggregation effect: The trend of users converging on larger open source frameworks such as FATE and Linguistics is more obvious, highlighting the cohesion of open source projects.

According to different technical paths, privacy computing open source projects are divided into open source projects that specialize in a single technology and open source projects with comprehensive technologies. This report classifies open source projects according to technical paths and provides multi-dimensional analysis to provide reference for industry peers in technology selection.
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7. Future trends in privacy computing

From the "Opinions on Accelerating the Construction of a National Unified Market" to the "Guiding Opinions on Strengthening the Construction of Digital Government", to the release of the "Overall Layout Plan for the Construction of Digital China" and the establishment of the National Data Bureau, the construction of Digital China and the relationship between data and data have been highlighted. The important position of the resource system in the future national development strategy also means that the construction of a safe and efficient unified data market is accelerating.

Among them, privacy computing, as a key technology that promotes the market circulation of data and ensures data security, will play a very critical role in promoting it, and will accelerate its large-scale application in the future. But there are still some challenges that need to be overcome. The report will show the future development direction of privacy computing from four directions: technology and application trends, as well as the exploration of new applications and new scenarios.

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Origin blog.csdn.net/apr15/article/details/134654955