Blockchain Privacy Computing: Technology Boosts Building Information Security

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With the global wave of digital sovereignty, the important role that data is the next generation is to establish global recognition, as a result, data security has become an ever-important issue in competition and participation in digital commerce. The “Data Security Law” was enacted as the first law in the field of data security in Korea, outlining information about rights and obligations essential to ensure the safety and effectiveness of digital marketing.

For financial companies, the “Data Security Act” strengthens the role of financial services data security and sets more specific and comprehensive data protection laws to secure financial services related to work media. One of the key provisions of the "Data Security Act" is to establish the distribution of data and their hierarchical protection with "sensitive data" according to their importance. However, the large amount of dynamic data provided by heavy users combined with the diversity of business associations created performance and functionality issues. The quality of the inspection process is always available.

At the same time, the "Data Protection Law" promotes the efficient and effective use of information in accordance with the law, making information illegal and free to flow according to the law. , and promotes technological support and business development in other areas. Because plain text files are easy to print, non-proprietary, and non-competitive, it is difficult to protect valuable financial information related to financial services from standard rule layers. If free-to-air data were released in the marketplace, financial companies with secure data would not be able to restrict its future use and dissemination.

To address the above issues and improve data financial information security protection, the authors presented WeBank's research and considerations for ensuring data security. develops and develops a technology in three phases: Enlightenment, Challenge and Field. .

Enlightenment: Information security and business advancements are equally important.

Compared to the international privacy laws represented by the EU General Data Protection Regulation (GDPR), the characteristics of data security laws do not only relate to the importance of the security and privacy of data. data, but also the security and use of data as a key objective.

Regarding the construction industry, Article 2 argues that the state uses the development and implementation of data and the construction industry to promote data security, improve data development and the use and development of information security systems, and the improvement of data and the use and application of information security technology clearly. Support. Encourage research, information and technology development, technological support and industry innovation in areas such as data security and information security to establish a file management system solid, standardize data exchange behavior and promote the data industry. This offers an opportunity for financial institutions to develop smart financial services that connect the archipelago, supplement valuable data on schools and take responsibility for risk management. .

When it comes to data security, Chapter 3 deals with data distribution and hierarchical protection related to operations, and Chapter 4 focuses on the different stages of data processing and clarifying the security of the business. information from different organizations. For this, it is necessary to establish a safety data management system throughout the process and complete data security. It is especially true that for the development of inter-agency information cooperation projects, legal and appropriate means for collecting information must be taken and the user's consent must be obtained, violation of the responsibility for inspection will result in liability in accordance with the law. As a financial company, in the development of the industry, how to improve the efficiency and effectiveness of information security procedures based on the use of technology production and the use of security protection in All data connections is an important and difficult concept for data security. Like.

Challenge: both data protection and price changes

Equivalent data protection obligations with exchange rates must be taken into account in order to achieve the objective of equivalence of data security and business improvement, and allow the development and implementation data implementation and business development as well as data security.

Here is an example of cleaning and is a new user to customer criminal. In this situation, I want to make sure that the business is in the boxes of information and organization B is helping receiving new clients, and data can be found, so, data protection of the information below: First, you know, add the new information B, the Office Boons Compare comparison to the blacklist, but the user's new information, but no new information to the customer at the office and the Office of B., where the employer is blacklist At the buildings compared with the comparison of comparison comparisons, the design is now introduced data protection data protection data protection. In this case, the existing process and data combinations will often be used as compared to data process and not protected files.

Figure 1 Privacy Policy on Blacklist Comparison

As supporting legislation, such as the Securities and Exchange Act, is used more and more, a similar skepticism will become more pronounced as financial firms diversify. In the past, simple and straightforward data exchange and joint venture models were not used in newer compliance models and would lead to compliance and legal risks.

In particular, key functions of financial institutions, such as financial protection, fraud prevention, credit rating, risk management and economics, can improve performance. succeeded by combining data from multiple financial companies. At the same time, cross-sharing of data presents an increased risk of data misuse and theft of sensitive financial information, which may not comply with the rules of information security policies. To eliminate these risks, improve the data security that already exists with technologies such as blockchain and privacy counting to ensure the management and modification of data rights. The exchange of valuable information supports the use of quality financial information and information on price protection and exchange rates.

Figure 2 The blockchain privacy tally brings new capabilities to data security.

Measure: Incorporation of high standards and compliance

The “Data Security Act” has strengthened data protection for the financial sector and has played an important role in guiding the health of financial data services. Therefore, financial companies are working together to improve process efficiency in accordance with development guidelines and to identify key technologies that are key measures to open and destroy tradeoffs between protected data and exchange rates. Innovation bottleneck in industry.

Blockchain and personal data counting are two of the pillars of digital technology close to data security, which has brought hard-to-implement data security protection complemented by information as a technology on data. existing financial markets.

The tamper-proof blockchain modification based on the crypto chain model provides reliable accounting and authentication functions that meet the needs of trusted data management systems in integrated communications, engage and empower auto technology - disclosure and reconciliation of cipher text. know by connecting them. Secure storage and reliable transmission of non-plain text authentication data, eliminating the difficulty of accessing strings due to data sensitivity. The use of personal information includes the support of information technology, such as requests for personal information, sharing security and technology education, etc., to provide information. The data. - the evolution of the product after the royalty, the financial information.

We are now introducing blockchain usability and personal data counting to ensure financial data security of our three types of business transactions:

The first is governance. Recognition of identifying information is a prerequisite for processing company-related documents. The approval process always follows important documents for signature at the time of approval and proof after approval. Performance issues are resolved after electrical authorization, but there is a risk that licensed data can be easily tampered with. The emergence of blockchain technology has reduced the risk of interference. Considering the chain's rule of law and the difficulty of direct access to the chain for sensitive data, it provides proof of identity, chain cooperation and non-collaboration data, cryptographic audit , and actual trade and compliance to Be reliable. reliable data, establish a hierarchical regulation system.

Second, the blacklist comparison. Researching the industry for anomalies based on stock comparisons is an important way to prevent money laundering and fraudulent scams. Based on the understanding of usernames, financial companies are reluctant to disclose general consumer product information or cryptographic information that can be determined with the release of technology for services is high and expensive. However, in order to complete the blacklist comparison, it is necessary to exchange information about each black consumer organization from different financial companies. Today's work processes and data processing technologies are difficult to adhere to with data security, but cutting edge technology for finding personal information based on personal information and confidential matters. It offers high support and minimum data knowledge while comparing blacklist procedures.

Third, integration. Risk and business management are now an important part of financial application and their goal is to identify potential consumers and find potential clients. Essentially both are taken into account by combining multiple datasets to improve performance and accuracy of user portraits. However, compliance with data security often prevents the disclosure of financial information between different institutions, or even between different schools in the same group. . Existing technology files are difficult to apply because they require the data to be stored in a free file. Applying multi-stakeholder security and technology training can help build privacy and security integration without leaving the organization, when plain-text file compliance is met.

Risk management as an example, there are currently two types of joint management models. In the first type of model, the manager has the overall risk management model, and for each risk management request, the director submits the risk management model to the participating organizations, and the participating organizations inject their own data into the local census models. He then returns to the starting eleven for the final race. In this regard, according to the multi-stakeholder computer security machine, the main structural parameters of the supporting organization and the data content of the common organization can be protected, when The accuracy of any co-management of the risk of scores can be further improved. identify to avoid incorrect modeling In the second type of model, the supporting organization is only part of the risk management model, and for each risk management request, the supporting organization should ask the organization of participation based on government education and ultimately credit. happen.

future expectations

In the factoring comparison of data production, the security of secure data is the responsibility of financial companies. Faced with a lot of financial data in various forms, the performance of data security law is not only a challenge to improve data paper security systems, but also an opportunity for research and innovation of industry. WeBank relies on the development of technology. Home of its experience in intellectual property and blockchain technology, the integration of auto-computing and other technologies has made significant gains, including Federal Education, the first FATE industry-level open base. has been created. The open platform FISCOBCOS, which is at the heart of the blockchain, the personal data protection solution protected by WeDPR, and many third-party WeDPR-PPC big data personal data counting platforms, etc. security protection and full data protection protection responsibilities.

We believe that the popularity of cutting-edge technologies, represented by blockchain and private applications, will break down barriers to data protection and the exchange of value and stimulate trade and change data security. Using technological tools such as decentralized management of trusted hierarchical authorizations, disclosure of data minimization and confidentiality of all data, it is possible to reduce costs after liability shift and improve the performance and efficiency of the data security process. Enthusiasts appreciate discovering innovation in data generator.