Highlights of the 2023 Privacy Computing Conference: Preview of Standard Interpretation of "Application Requirements for Privacy Computing Applications Facing Government Affairs Scenarios"

On July 26, the 2023 Privacy Computing Conference will officially set sail in Qingdao. This conference will gather industry experts and big names to discuss the latest developments in the industry, gain insight into future development trends, and jointly promote the vigorous development of the privacy computing industry.

The conference will officially release the "Privacy Computing Application Research Report (2023)", "Privacy Computing Interconnection Standards and the Second Batch of Practical Demonstration Solicitation Projects", and the interpretation of the "Privacy Computing Application Requirements for Government Affairs Scenarios" standard interpretation, trusted data circulation network test bed and other important achievements. The first "Galaxy Cup" Privacy Computing Competition Awards Ceremony will also be held, and the eighth batch of Trusted Privacy Computing evaluation results will be interpreted .

Among them, the interpretation of "Application Requirements for Privacy Computing Applications Facing Government Affairs Scenarios" is an important part, which will help the open sharing of government affairs data and bring the era of digital government affairs to truly come.

"Application Requirements for Privacy Computing Applications Facing Government Affairs Scenarios" Standard Interpretation Preview

In recent years, with the continuous improvement of infrastructure such as the Internet and big data, government departments and other departments have accumulated a large amount of government data element resources. At present, the state has issued a series of policy documents related to data security, data openness, and sharing in the field of government affairs, such as "Guiding Opinions on Strengthening the Construction of Digital Government" and "Guidelines for the Construction of a National Integrated Government Big Data System", etc., clearly proposing to promote the sharing of government affairs data flow and the docking of supply and demand, and promote efficient collaboration and application of cross-departmental and cross-level businesses. All provinces and cities responded positively, and further issued supporting management measures, work points, guidelines, and implementation plans, etc., to jointly promote the sharing of government affairs data .

At present, privacy computing technology is deeply applied in industries such as finance, communication and medical care. In the field of government affairs, with the dual drive of policy and market, the demand is gradually released. Government affairs units or public service agencies already have a large amount of government affairs data and public service data through collection, aggregation, storage, etc., such as people's livelihood services, transportation and other related data. By using privacy computing technology, data analysis and model training can be performed without disclosing sensitive information, providing a basis for policy formulation . Therefore, privacy computing applications for government affairs scenarios urgently need relevant standards to regulate.

"Application Requirements for Privacy Computing Applications Facing Government Affairs Scenarios" comprehensively sorts out the application scenarios and characteristics of privacy computing in the field of government affairs, and provides technical support for the open sharing of government affairs data. The standard aims to improve the application level of industry standardization, and can also provide reference guidelines for government units that are about to introduce privacy computing platforms, as well as technology manufacturers that develop government data application products.

Highlights of "Application Requirements for Privacy Computing Applications Facing Government Affairs Scenarios"

1) Comprehensively sort out the application scenarios of privacy computing in the field of government affairs. The standard has been discussed for several months, from the collection of materials to several expert seminars, exhaustive details, consensus building, and in-depth combing of government affairs data and data fusion application practices in different industries such as the Internet, Internet of Vehicles, finance, communications, and medical care. Summarize the application mode of government affairs data from the perspectives of participants and result acquirers, covering two major application scenarios, 28 subdivision scenarios of government affairs data sharing, and 64 general scenarios , and comprehensively and systematically sort out the security requirements and product specifications for the application of privacy computing in the field of government affairs.

2) Focus on standardizing four aspects of capabilities to help create easy-to-use and secure privacy computing products. The standard is compiled from four aspects: algorithm implementation and security, government affairs scenario support capabilities, product usability, and government affairs scenario application capabilities. Algorithm implementation and security must meet six major algorithm security requirements and communication security requirements.

"Application Requirements for Privacy Computing Applications for Government Affairs Scenarios", this standard represents an important step in the standardization of privacy computing applications in digital transformation in more fields in the future. In the future, with the continuous development and maturity of technology, privacy computing will also play an important role in more fields, promote the compliance sharing of data, protect personal privacy, and promote the innovation and development of various industries.

For more information, please contact Teacher Tong, email: [email protected]

Registration Address: [Registration] 2023 Privacy Computing Conference and the Award Ceremony of the First "Galaxy Cup" Privacy Computing Competition

Conference Contact: Zhang Demin 15313961683

 

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Origin blog.csdn.net/DataFountain/article/details/131804748