Nowadays, major countries in the world are accelerating the development of blockchain technology. To ensure that my country occupies the commanding heights of innovation in the blockchain field, it is necessary to accelerate the deep integration of blockchain and related cutting-edge information technologies to promote integrated innovation and integrated applications. As my country’s independent and original innovation technology, multi-party computing can enable multiple non-mutual trust databases to perform efficient data fusion calculations under the premise of mutual confidentiality of data. Its effective combination with blockchain technology will accelerate the implementation of blockchain scenarios and promote my country’s regional Block chain application development.
Grasp the new trend of blockchain applications
The next stage of blockchain application development should complete the following two transformations: First, a single technology shifts to comprehensive applications of multiple technologies. Blockchain technology is more closely integrated with new-generation information technologies such as cloud computing, artificial intelligence, 5G, and the Internet of Things, forming a preliminary "blockchain+" application solution. For example, "blockchain + cloud computing" can create a simpler and more efficient blockchain cloud environment based on cloud resources, and can provide an integrated operation and maintenance solution for deployment, operation, and monitoring, reducing the threshold for using blockchain; "Blockchain + artificial intelligence" enhances the ability of blockchain to support complex businesses and expands the use value of blockchain. "Blockchain + 5G + Internet of Things" provides efficient data collection capabilities for the blockchain, and can greatly increase the data transmission speed, reduce network congestion, and greatly improve the performance of the blockchain. In the future, solutions that combine the application of blockchain and multiple technologies will completely replace a single technology and become an important engine for technological innovation and development.
The second is the transition from a single scene to multi-scenario fusion applications. Blockchain technology has now expanded from the financial field to government affairs, medical care, education, logistics, food safety and other fields, and it has also shown value in cross-industry scenarios. For example, "government + finance" opens up data sharing channels between government departments and financial institutions through the blockchain to realize the transparent use and effective supervision of funds. In the future, the integrated application of blockchain in cross-fields and multiple scenarios will also reshape the current social business model and become an important driver of the industrial wave.
As the scope of blockchain applications continues to expand, four issues have gradually emerged: First, the issue of data privacy protection. Blockchain's current privacy protection technology is at an early stage of development, and there are still many risks of privacy leakage. The second is the limitation of performance efficiency. The operating mechanism of the blockchain relies on a large amount of real-time data communication. As the amount of data expands and the number of nodes on the chain continues to grow, the system performance and processing efficiency of the blockchain will also directly affect its further commercial popularity. The third is the challenge of getting data through on-chain and off-chain. At present, the data on the chain is limited, and it is necessary to get through with the off-chain system to solve the problem of information islands. At present, on-chain and off-chain collaboration technologies at home and abroad are still in the early stage of research. The fourth is the authenticity of the data on the chain. Blockchain can be technically difficult to tamper with, but how to ensure the authenticity of its data on the chain is also a major problem in current blockchain applications.
Promote new exploration of blockchain combined with multi-party computing
Multi-party computing theory was first proposed and founded by Turing Award winner Academician Yao Qizhi in the 1980s. It is an original computer technology in China. Its outstanding feature is that it can achieve data calculations in ciphertext and can get the same as plaintext calculations. the result of. In the past two years, with the major breakthroughs and improvements in algorithm and engineering design, the initial commercialization of multi-party computing products has also provided new solutions to the bottleneck of blockchain application development.
The advantages of blockchains that are difficult to tamper with and traceable, combined with multi-party computing can realize the strengths of data "available and invisible, and used in accordance with the prescribed use and amount", which can realize data privacy protection, data storage, data verification, joint computing, and joint Various functions such as modeling, open up a new situation in blockchain applications.
"Blockchain × multi-party computing" solves the problems of privacy, cross-chain collaboration and performance efficiency on the chain. Blockchain recording and storage technology solves the problem of fraud that often occurs in data flow in the traditional model, but because multiple nodes participate in the data verification, storage and maintenance of the blockchain system, the risk of data privacy leakage increases. Combining multi-party computing technology can effectively deal with the problem of data privacy leakage. For specific applications, for example, in the field of government affairs, government data on the chain helps promote data sharing and circulation. However, some highly sensitive information in government data directly on the chain is very likely to be intercepted by criminals at a single point of attack, so by combining multiple parties Computing technology, related processing of sensitive government affairs data before uploading to the chain, using contract to place data authorization, usage and consumption control and other business approval authority on the chain, and off-chain data privacy calculations and data through a multi-party computing platform Results feedback. Such a model can effectively solve the problem of privacy leakage of sensitive data on the blockchain, and this method also solves the problem of multi-node consensus behavior caused by a large amount of data on the chain affecting performance and efficiency, and also reduces the storage cost of data on the chain. In addition, when the government data is called for calculation, if it involves off-chain or cross-chain data, the latest technology of multi-party computing-plain and cipher text collaborative computing technology can be used for fusion calculation, which also provides an effective way for the on-chain and off-chain data to connect. solution.
"Blockchain + multi-party computing" verifies the authenticity of data on the chain. Through the blockchain technology, the consistent storage of data and the difficulty of tampering can be realized, which greatly increases the difficulty and cost of data fraud on the chain, and also eliminates the concerns of most people and institutions about data credit. However, blockchain technology alone cannot guarantee the absolute authenticity of the data on the chain. By combining multi-party calculations, the authenticity of the data on the chain can be effectively verified from the information that is difficult to obtain on the current chain. For specific applications, for example, in the field of financial supervision, financial institutions upload relevant transaction data to the blockchain to facilitate the review and analysis of on-chain data and behavioral supervision by regulators. However, some large amounts of high-risk transaction data are not detected by regulators. It is very likely that the modification was made before the chain was launched. In order to avoid the spread of industry risks caused by the falsification of financial transaction data, the regulator can obtain relevant data from the counterparty of the transaction information provided by the financial institution or upstream and downstream industries through multi-party computing technology, and then contact By analyzing and comparing the transaction data on the chain provided by financial institutions, you can discover in time whether financial institutions have falsified transaction data, thereby effectively enhancing the penetration and professionalism of financial supervision.
"Multi-party computing + blockchain" realizes data traceability and supervision. Multi-party computing provides effective solutions for blockchain applications, and blockchain also provides a beneficial supplement to the implementation of multi-party computing applications. For example, multi-party calculations use the ciphertext calculation mode to ensure that the data calculation participants cannot see the data of other parties. If the participants maliciously enter the wrong data, the overall calculation results will be affected. The data participating in the calculation and the calculation process are verified through the blockchain. Encrypted storage of evidence can effectively track malicious input, and it is also conducive to the effective supervision of sensitive data circulation and fusion computing scenarios by supervisory authorities. Multi-party computing has created a new realm of blockchain applications. The close integration of the two will produce more positive effects that promote each other, and provide important support for digital social governance, transactions and digital economic development.
Actively explore new models of social governance
Based on blockchain and multi-party computing fusion technology, a safer and more reliable data sharing and circulation platform can be created, and information asymmetry can be reduced, so that social governance organizations can obtain more accurate, higher-quality, and more comprehensive social behavior information in a timely manner, so that society can Governance has become fairer, more flexible and more efficient. At the same time, it can also help regulators to effectively dig out the risk trends hidden in massive data, realize early risk identification, early warning, early detection, and early disposal, so as to better improve the existing regulatory system and increase the risk of new technology application The ability to control, promote the regulatory agencies to realize from "post supervision" to "real-time supervision", from "bypass supervision" to "active intervention."
At this time, the combination of blockchain and multi-party computing can effectively promote the confirmation and circulation of data. The blockchain technology enables the confirmation of data ownership, and the multi-party computing technology separates the visible value from the use value of data, which protects data privacy at the same time. It allows the use value of data to be traded and provides key technical support for more data resources to become tradable assets. Blockchain and multi-party computing can also promote the development of the data transaction market. Blockchain technology can increase the fairness and transparency of data asset transactions, and multi-party computing technology can regulate the use and consumption of data, avoid data abuse, and accelerate the realization of data value. , Lay the foundation for my country to accelerate the cultivation of the data element market.
In short, the combination of blockchain and multi-party computing can build a safer and more flexible digital infrastructure base. Based on this base, it can be organically integrated with a variety of new-generation information technologies such as big data, artificial intelligence, 5G, and the Internet of Things. Stimulating the application potential and value of new technologies will also give birth to a new data industry ecology, promote the in-depth integration of data and industries and innovative applications, and effectively promote the high-quality development of the digital economy.
Source: Learning Times