The personal calculator is hot. Who can go further in teaching multi-party security in China and education in government?

区块链日报 view 59 2021-12-7 17:32
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隐私计算赛道大热,多方安全计算与联邦学习两方向谁能走得更远?

In 2021, the private sector has become a hotbed of capital investment.

In 2021, the country's "Data Security Law" and "Privacy Policy" will come into force in September and November, as required by law, and the "Shanghai Data Regulations" will be enacted in the region on November 29. , from January 2022. It will take place from the 1st. China's information security and privacy rule of law has entered a new level of operation and specialization.

In 2021, the private sector has become a hotbed of capital investment. According to incomplete statistics from think tank Zero One, at the end of September 2021, private data, including start-ups, received a total of 63 units of capital, including a total of government revenue of 5.61 billion yuan .

As we all know, in the age of digital marketing, information has become an important tool of valuable strategies of companies and countries, and information sharing and distribution has become very strict industries. However, the inconsistency between privacy and data is beneficial. is becoming more and more important .. How to identify the data around and increase the value of data content in a secure environment is a major concern for many companies.

And privacy is an important way to balance the use of information with security. Privacy computing is an integrated technology that spans a wide range of disciplines, with the goal of "making data usable, but invisible, and data invaluable."

Since its development in the 1970s, it can be divided into three main sections, one of which is password-based privacy technology represented by multiple security parts, and the other is provided by a combination of technologies. of intellectual property and confidentiality represented by the government. . Technological education, the third is the use of personal computers based on trusted hardware, represented by TEE.

Personal Information Technology Application

隐私计算赛道大热,多方安全计算与联邦学习两方向谁能走得更远?

Data source: Chinese Academy of Information and Communication Technologies

Identify the main characteristics of privacy practices

隐私计算赛道大热,多方安全计算与联邦学习两方向谁能走得更远?

Data source: Chinese Academy of Information and Communication Technologies, Gartner

From the point of view of functional characteristics, the use of multi-party security has many advantages and high security, but there is less communication and communication, and the performance is poor. . Government education is based on the MPC, DP, and HE methods, and is typically used to train and predict AI models. In addition, technologies such as homomorphic encryption, zero authentication, differences in privacy, and blockchain have also been used or improved in the computation of personal information.

In terms of application scenarios, at present, the industry-related privacy industry is mainly financial, Internet, government and health, there are many information and data needs, and often focus on joint ventures, risk sharing. Management, medical intelligence and e-government and other special situations.

As one of the early players in the multi-party security computing technology approach, Huakong Qinghai's PrivPy multi-stakeholder security computing platform has found a solution that supports a variety of computations, processing quality , mass and scalability. Now, China Management Research has started to land on a variety of issues, such as the Federal Government of Haidian District Federal Government's Big Data Encryption Joint Sharing Platform and the International Exchange Information Industry of Beijing big data.

As one of the leading players in federal education technology, Fengwei Technology mainly includes a series of products such as Medical Big Data Personal Information Platform (NovaVita) and Computing Platform personal information on government big data (NovaGov). Currently, Fengwei Technology has provided additional services to more than a dozen hospital customers, including several domestic and state-of-the-art hospitals.

Regarding patent applications, both have filed patent applications since 2018, according to data from Wisdombuds. To date, Fengwei Technology has a total of 15 patent applications, including 13 invention patents, accounting for 86.67%. Huakong Qingtong has filed for 160 patents, all of which are invention patents. On the other hand, it reflects the hot R&D topics of various Chinese security machines, but on the other hand, it also means that it is difficult to operate for a long time.

隐私计算赛道大热,多方安全计算与联邦学习两方向谁能走得更远?

隐私计算赛道大热,多方安全计算与联邦学习两方向谁能走得更远?

Patent pending trend chart by Huakong Qinghai and Fengwei Technology

However, through capital investment, China Securities Clearing Corporation announced the completion of a financing round of RMB B 500 million in October this year, and Fengwei Technology also announced the completion of a round of financing of 100 million RMB B. The financial tour in August this year, the two were very rewarding. by capital. It's possible.

The reason why private enterprise industry has only recently developed over the past 1-2 years secure multi-stakeholder computing and federated education is now the use of technology Urine is important, there is no better ending. Do the bullets fly for a while? At present, the private information industry landscape competition has not yet matured, and Huakong Qingjiao and Fengwei Technology have undertaken more than an early stage of the protection industry to block the personal informations.

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