Blockchain source code

1. In recent years, blockchain digital assets represented by bitcoin have become popular all over the world. Financial institutions, technology companies, investment companies and other participants at home and abroad have invested a lot of human, material and technical resources in the research, development, design, testing and promotion of blockchain digital assets. In order to realize the main characteristics of "four can and three can't" of blockchain digital assets, we can build the core technology system of digital assets by relying on 11 technologies of security technology, transaction technology and trusted guarantee technology. First of all, security technology is used to ensure the fluidity, storability, controllable anonymity, unforgeability, non repeatable transaction and non repudiation of blockchain digital assets. digital currency security technology mainly includes basic security technology, data security technology and transaction security technology. Basic security technology includes encryption and decryption technology and security chip technology. Encryption and decryption technology is mainly used in currency generation, secret transmission, identity verification and other aspects of digital assets. The establishment of a perfect encryption and decryption algorithm system is the core and foundation of the digital assets system, which needs to be customized and designed by the national password management organization. Security chip technology is mainly divided into terminal security mole technology and smart card chip technology. Digital assets can be traded in the form of mobile terminal based on terminal security mole. As the carrier of secure storage and encryption and decryption operation, terminal security mole can provide effective basic security protection for digital assets. Digital asset system trading platform blockchain technology research and development of data security technology, including data security transmission technology and secure storage technology. Data security transmission technology transmits digital asset information through ciphertext + MAC / ciphertext + hash to ensure the confidentiality, security and non tamperability of data information; Data security storage technology stores digital currency information by means of encryption storage, access control, security monitoring, etc., to ensure the integrity, confidentiality and controllability of data information
transaction security technology includes anonymous technology, identity authentication technology, anti plicate transaction technology and anti-counterfeiting technology. Anonymity technology realizes controllable anonymity of digital assets through blind signature (including blind parameter signature, weak blind signature, strong blind signature, etc.) and zero knowledge proof; The identity authentication technology verifies the user's identity through the authentication center to ensure the validity of the digital asset trader's identity; The anti plicate transaction technology ensures that digital assets are not reused by means of digital signature, serial number and time stamp; Anti counterfeiting technology ensures the authenticity of digital assets and transactions by means of encryption and decryption, digital signature and identity authentication. Secondly, the online transaction and offline transaction of digital assets are realized by transaction technology. Digital asset trading technology mainly includes online trading technology and offline trading technology. As a legal currency, digital assets should not be rejected by any unit or indivial, and can be traded online or offline. Online transaction technology realizes online transaction of digital assets through online device interaction technology, online data transmission technology and online transaction processing; The off-line transaction technology realizes the off-line transaction of digital assets through the off-line device interaction technology, off-line data transmission technology and off-line transaction processing technology. Finally, trusted guarantee technology is used to provide a safe and reliable application environment for the issuance, circulation and transaction of digital assets in blockchain. Digital asset trustworthiness assurance technology mainly refers to trusted service management technology. Based on trusted service management platform (TSM), it ensures the security and trustworthiness of digital asset security mole and application data, and provides security chip (SE) and application life cycle management function for digital asset participants. Trusted service management technology can provide application registration, application download, security authentication, authentication management, security evaluation, trusted loading and other services for digital assets, which can effectively ensure the security and credibility of digital assets system
what is blockchain? Blockchain technology, also known as distributed ledger technology, is an Internet database technology, which is characterized by decentralization, openness and transparency, so that everyone can participate in database records. Blockchain technology development blockchain technology development what is a blockchain system? Blockchain system is a database system with integrity. The data written into the system will be automatically copied to the nodes of the blockchain, which can achieve transactional data preservation, support the management and development of databases in various instries, and be proced in combination with various needs. 294.497 billion US dollars, or 2.60%. This week, five new projects entered the top 100, namely FST, ZB, Wix, wax and MXM. On August 11, the price of bitcoin was $11523.58, up 3.20% from last week, and Ethereum was $216.09, down 3.86% from last week. The 24-hour turnover of this week increased by 2.63% over the same period last week; Among the top 100 projects, the total market value and average market value of currency projects increased significantly, and the classification composition of global blockchain assets top 100 projects was stable.

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Blockchain projects require high efficiency, so most of the core source code development is using C / C + +. However, if you are doing a blockchain project, unless you need to make a lot of adjustments to the source code, you may not choose to use Java. For general DAPP applications, java development should also be a good choice. For example, in the case of Ethereum blockchain, there is a web3j class library for Java, which is very convenient; Bitcoin has bitcoin J class library, which is also easy to use. It still depends on the level of application, what to do, and the situation of the team

share two Java blockchain tutorials:

1. java bitcoin details

2. java Ethereum development

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3. Technology has nothing to do with language. Under normal circumstances, the same technology, in the case of permission, most languages can achieve the same function

you should be talking about the technology of virtual currency. This source code is usually developed by C + +.

4. You can go to cloudleopard technology, and the team is more experienced.

5. You can go to GitHub to see the source code of yitaimao on eth

6. Can see clouded leopard network company, the team is experienced

7. I don't know much about Taixi currency, but it's not only open source code that can distinguish real blockchain digital currency.

8. Regulatory variables can be qualitative or quantitative. In the analysis of regulatory effect, the independent variable and regulatory variable should be transformed centrally. Brief model: y = ax + BM + CXM + E. The relationship between Y and X is characterized by regression coefficient a + cm, which is a linear function of M, and C measures the size of the moderating effect. If C is significant, it means that the regulatory effect of M is significant. 2. Analysis method of regulatory effect analysis method of significant variable: divided into four cases. When the independent variable is a category variable and the moderating variable is also a category variable, the analysis of variance of two factor interaction effect is used, and the interaction effect is the moderating effect; When the regulatory variable is a continuous variable, the independent variable uses the pseudo variable, centralizes the independent variable and the regulatory variable, and does the hierarchical regression analysis of y = ax + BM + CXM + e: 1. Do the regression of y to X and m, and get the determination coefficient R1 2. 2. The regression of y to x, m and XM yielded R2 2. If R2 2 was significantly higher than R1 2, the regulatory effect was significant. Or, XM regression coefficient test, if significant, the regulatory effect is significant; When the independent variable is a continuous variable, the regulating variable is a category variable, grouping regression: grouping according to the value of M, doing y to x regression. If the difference of regression coefficient is significant, the regulation effect is significant. When the regulation variable is a continuous variable, the hierarchical regression analysis of y = ax + BM + CXM + e is done as above. There are two ways to analyze the moderating effect of latent variables: one is that the moderating variable is the category variable and the independent variable is the latent variable; The second is that both regulatory variables and independent variables are latent variables. When the moderator is a class variable, group structural equation analysis is performed. The method is to limit the regression coefficients of the two groups of structural equations to be equal, and get one χ 2 and the corresponding degrees of freedom. Then remove this restriction, re estimate the model, and get another one χ 2 and the corresponding degrees of freedom. ahead χ 2 minus the following χ 2 get a new one χ 2, the degree of freedom is the difference between the two models. If χ If the test result is statistically significant, the moderating effect is significant; When regulatory variables and independent variables are latent variables, there are many different analysis methods. The most convenient one is the unconstrained model proposed by marsh, Wen and Hau. 3. The definition of intermediary variable is the influence of independent variable x on dependent variable y. if x influences y by influencing variable m, then M is called intermediary variable. Y=cX+e1, M=aX+ e2 , Y= c′X+bM+e3 Where C is the total effect of X on y, AB is the mediating effect through M, and C 'is the direct effect. When there is only one mediating variable, there is C = C ′ + AB between the effects, and the mediating effect is measured by C-C ′ = ab. 4. Mediating effect analysis method mediating effect is indirect effect, regardless of whether the variables involve latent variables, structural equation model can be used to analyze mediating effect. The first step is to test system C. if C is not significant and the correlation between Y and X is not significant, stop the mediating effect analysis, and if it is significant, proceed to the second step; The second step is to test a and B once. If they are all significant, then test C ′, C ′, and the mediating effect is significant. If C ′ is not significant, then the complete mediating effect is significant; If at least one of a and B is not significant, do Sobel test, significant mediating effect is significant, not significant mediating effect is not significant. The statistic of Sobel test is Z = ^ A ^ B / SAB, in which ^ A and ^ B are estimates of a and B respectively, SAB = ^ a2sb2 + b2sa2, SA and Sb are standard errors of ^ A and ^ B respectively. 5. Comparison between moderator and mediator moderator m moderator m research purpose when does x affect y or when does x have a greater impact? How does x affect the moderating effect, interaction effect, mediating effect of y-related concepts When the influence of X on y is considered, the influence of strong x on y is strong and stable. The typical model is y = am + BM + CXM + e, M = ax + E2, y = C ′ x + BM + E3. The position of m in the model is x, M is in front of Y, M can be in front of X, the function of m after X and before y affects the direction (positive or negative) and strength of the relationship between Y and X. x influences the relationship between Y, m and X, X and X through it The correlation between M and X, y can be significant or not (the latter is ideal) the correlation between M and X, y is significant effect regression coefficient C regression coefficient proct AB effect estimate ^ C ^ A ^ B effect test whether C is equal to zero, AB is equal to zero test strategy do hierarchical regression analysis, test the significance of partial regression coefficient C (t test); 6. SPSS operation method of mediating effect and moderating effect. First, descriptive statistics, including M SD and internal consistency reliability (a) are used. Second, all variables are correlated, including statistical variables and hypothetical x, y, y, Third, regression analysis To choose linear regression in regression, we should first centralize the independent variable and m, that is, subtract their respective mean. 1. Now, we input m (regulatory variable or intermediary variable), y dependent variable, and demographic variable related to any of the independent variable, dependent variable, and M regulatory variable into independent. 2. Then press next to input x independent variable (intermediary variable so far). 3 In order to do the adjustment variable analysis, it is necessary to input the opportunity of X and m in the next for further regression. The test mainly depends on whether f is significant

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