当前位置:网站首页>Zero technology is deeply involved in the development of privacy computing financial scenario standards of the ICT Institute
Zero technology is deeply involved in the development of privacy computing financial scenario standards of the ICT Institute
2022-07-29 07:35:00 【Zero Technology】
In recent days, ,2022 The privacy Computing Conference was held in Beijing , A number of privacy computing related standards were released at the meeting , among , Zero technology as one of the leading units , Deep involvement 《 Privacy computing Application specifications for financial scenarios 》 Standard setting , stay 38 In common scenarios , It provides the most scenario solutions for a single family , It highlights the comprehensive strength of zero in product scenario solutions .

according to the understanding of , The standard mainly includes four capability areas : The first is algorithm implementation and security , This capability domain lays the foundation of security technology for scenario applications ; The second is the ability to support financial scenarios , This capability domain is to improve the basic capability of the product and support the application of financial scenarios ; The third is ease of use , This capability domain is extended beyond the existing basic capability evaluation items , Enhance the ease of use of privacy computing products in practical financial applications ; The fourth capability area is the application capability of financial scenarios , This capability domain is a solution to safely and effectively complete common financial scenarios through algorithm combination .

Today, , With the rapid development of digital economy , A new round of technological and industrial changes is reshaping the global economic structure , The problem coexisting with the value of massive data is data security and how to protect data privacy . Privacy computing technology provides a new model for the circulation of data elements and the release of value , Complete virtual joint computation without exposing the original data , Implementation data 「 ownership 」 and 「 Right to use 」 The separation of , Resolve the contradiction between data circulation and privacy protection , Get academic 、 Widely recognized by the industry market and supervision , It is regarded as a reliable solution for the safe interworking of data elements , Privacy computing is gradually becoming one of the new infrastructures in the data age .
Many privacy computing technical specifications and standards released by this Conference , Zero technology as one of the leading units , Heavily involved 《 Application specification of privacy computing for financial scenarios 》 Preparation of Standards , It is among the manufacturers participating in the preparation of Standards , It provides the largest number of scene solution manufacturers . The vice president and Secretary General of China Communications Standardization Association mentioned , Promote data security and compliance circulation , Promote the normative development of privacy computing and other related technologies , Standardization plays a crucial role . A perfect standard system is conducive to the specification of technical products , Mature detection and verification methods are conducive to the further application of products , Regulatory system 、 The integration of technology system and standard system will also accelerate the healthy and orderly development of the industry .
The privacy computing series of zero technology covers federal learning 、 Safety calculation 、 Hidden query 、 Safe intersection, etc , Its application mode breaks the data island , Realize the efficient circulation of data value .2021 By the end of year , Zero technology releases the basic version of zero privacy computing platform , Provide secure computing from multiple parties 、 model training 、 The whole process from model evaluation to application deployment , It can effectively protect data security and user privacy ; The following year 5 month , Zero releases the commercial version of the privacy computing platform , Support federated modeling 、 Hidden query 、 Safety is the key 、 Safety Statistics ; The zero federal learning platform successfully passed the “ Trusted privacy computing evaluation ”, This is the earliest in the field of privacy computing in China 、 The most complete 、 Widely recognized by the industry evaluation system , It is known as the wind vane of supply side product research and development and demand side procurement selection .
It is expected that by the end of this year , Zero technology will release a financial level version of the privacy computing platform , Meet financial level safety and performance requirements . future , Zero will continue to deepen the exploration of the application scenarios of privacy computing technology , Integrate existing blockchain and privacy computing technologies , Publish a data circulation service platform that covers the whole life cycle of data privacy protection , Build a new generation of data sharing and asset circulation infrastructure , Empowering the digital future , Make data value orderly 、 trusted 、 Circulate safely , Help the digital transformation and development of all walks of life in China .
边栏推荐
- The beauty of do end usage
- 基于高阶无六环的LDPC最小和译码matlab仿真
- Thinkphp6 realizes database backup
- Multi thread shopping
- Does Flink support sqlserver databases? Get the changes of SQLSERVER database
- Introduction and introduction of logback
- 小D的刺绣
- OA项目之会议通知(查询&是否参会&反馈详情)
- 请问flink支持sqlServer数据库么?获取sqlServer数据库的变化
- Pat class a 1146 topology sequence
猜你喜欢

Multi thread shopping

Getting started with JDBC

log4qt内存泄露问题,heob内存检测工具的使用

JS day 4 process control (if statement and switch statement)

多线程购物

Use custom annotations to verify the size of the list

【WPF】通过动态/静态资源实现语言切换

Some learning and understanding of vintage analysis

分析25个主要DeFi协议的路线图 预见DeFi未来的七大趋势

STM32 operation w25q256 w25q16 SPI flash
随机推荐
状态机dp三维
Introduction to logback appender
How much data can a single MySQL table store at most?
Credit card shopping points
Android interview question | how to write a good and fast log library?
Multi thread shopping
QT基础第二天(2)qt基础部件:按钮类,布局类,输出类,输入类,容器等个别举例
QT topic: basic components (button class, layout class, output class, input class, container class)
【深度学习】数据准备-pytorch自定义图像分割类数据集加载
CDC source can quit after reading MySQL snapshot split
1 - background project construction
Pat class a 1154 vertex shading
梳理市面上的2大NFT定价范式和4种解决方案
关于大龄读博的几点回答?
我想问一下,我flink作业是以upsert-kafka的方式写入数据的,但是我在mysql里面去更
[MySQL] - [subquery]
Logback log level introduction
写点dp
MySQL 45 讲 | 07 行锁功过:怎么减少行锁对性能的影响?
jdbc入门