System for carrying out risk assessment on block chain project

Abstract

The invention discloses a system for carrying out risk assessment on a block chain project, which comprises a data acquisition module, a feature extraction and processing module, a risk assessment module and a risk visualization module, and is characterized in that the data acquisition module is connected with the feature extraction and processing module, the feature extraction and processing module is connected with the risk assessment module, and the risk visualization module is connected with the risk assessment module. The risk assessment module is connected with the risk visualization module, and the data acquisition module comprises a block chain browser acquisition module, a social media acquisition module, a news website acquisition module, a project pipe network acquisition module and an open source code acquisition module. According to the system for carrying out risk assessment on the block chain project, automatic data acquisition is carried out on the whole block chain project, then feature extraction and processing are carried out through artificial intelligence, and then risk assessment is carried out through a block chain project risk assessment model based on multi-dimensional factors; and finally, visually displaying the risk assessment of the project.

Description

Technical Field

[0001] The present invention relates to the technical field of blockchain project risk assessment, and in particular to a system for performing risk assessment on blockchain projects. Background Art

[0002] With the rapid development of blockchain technology, more and more blockchain projects have emerged, and their application scenarios are constantly enriched. They can be mainly divided into currency, platform, application, asset tokenization, etc. However, due to technical complexity, market uncertainty and other reasons, participating in blockchain projects is still accompanied by high risks. It is also difficult for participants to assess the risks of the projects on their own. Therefore, a systematic method is needed to assess the risks of these projects to support investment decisions and supervision. This has a positive effect on building a healthy blockchain ecosystem.

[0003] At present, the risk assessment of blockchain projects is only conducted by each aggregation platform for projects that need to be launched on its own platform, or by investment advisory agencies. There is no risk assessment system that is open and transparent to the general public. People outside the blockchain circle have no idea about blockchain projects and have no way to participate. This restricts the rapid development of the blockchain ecosystem.

[0004] The evaluation plans of blockchain projects launched by various aggregation platforms or investment institutions are not open to the public for free, and the risk assessment dimensions are single and expensive. Moreover, most of them collect data manually for analysis and evaluation, which is time-consuming and has manpower limitations. Generally, risk assessment is only conducted on the direction of one's own concern, which is only in line with the development of one's own business direction and cannot promote the vigorous development of the entire blockchain ecosystem. For this reason, we propose a system for risk assessment of blockchain projects. Summary of the invention

[0005] Technical problems solved: In view of the shortcomings of the prior art, the present invention provides a system for risk assessment of blockchain projects, which automatically collects data for the entire blockchain project, then extracts and processes features through artificial intelligence, and then assesses the risks through a blockchain project risk assessment model based on multi-dimensional factors. Finally, the risk assessment of the project is visualized, which can effectively solve the problems in the background technology.

[0006] Technical solution: To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a system for risk assessment of blockchain projects, including a data acquisition module, a feature extraction and processing module, a risk assessment module and a risk visualization module, the data acquisition module is connected to the feature extraction and processing module, the feature extraction and processing module is connected to the risk assessment module, the risk assessment module is connected to the risk visualization module, the data acquisition module includes a blockchain browser acquisition module, a social media acquisition module, a news website acquisition module, a project network acquisition module and an open source code acquisition module, the feature extraction and processing module includes a security company audit module, a security accident module, an open source degree module, a vulnerability detection module and a vulnerability bounty module.

[0007] As a preferred technical solution of the present application, the output end of the data acquisition module is signal-connected to the input end of the feature extraction and processing module, the output end of the feature extraction and processing module is signal-connected to the input end of the risk assessment module, and the output end of the risk assessment module is signal-connected to the input end of the risk visualization module.

[0008] As a preferred technical solution of the present application, the data acquisition module is responsible for collecting information related to the blockchain project from multiple data sources, including technical documents, team background, and market data. The data sources may include public blockchain browsers, social media, news websites, project official websites, and open source codes.

[0009] As a preferred technical solution of the present application, the feature extraction and processing module processes and extracts features from the collected raw data for subsequent analysis and modeling. The feature extraction and processing module uses natural language processing technology and data cleaning algorithms to convert data into features that can be used for model training.

[0010] As a preferred technical solution of the present application, the risk assessment module develops a model for risk assessment of blockchain projects based on machine learning and data analysis technology. The model takes into account whether the security company has conducted an audit, whether security incidents have occurred, whether the code is open source and the degree to which it has been open sourced, vulnerability detection of open source code, whether a vulnerability bounty has been issued, as well as factors in multiple dimensions such as technology, team, and market. The risk assessment module can give a corresponding risk score based on the characteristics of the project.

[0011] As a preferred technical solution of the present application, the data collection module and the risk assessment module conduct a comprehensive risk assessment of projects in the blockchain ecosystem and can clearly understand the risks of blockchain projects.

[0012] As a preferred technical solution of the present application, the risk visualization module can display the risk performance of the blockchain project under different market environments based on the output of the evaluation module. At the same time, the risk visualization module displays the evaluation results in a visual manner to help users understand the advantages and disadvantages of the project more intuitively.

[0013] As a preferred technical solution of the present application, the data acquisition module, feature extraction and processing module, risk assessment module and risk visualization module automatically collect data for the entire blockchain project, then extract and process features through artificial intelligence, and assess risks through a blockchain project risk assessment model based on multi-dimensional factors, and finally visualize the risk assessment of the project.

[0014] Beneficial effects: Compared with the prior art, the present invention provides a system for risk assessment of blockchain projects, which has the following beneficial effects: the system for risk assessment of blockchain projects automatically collects data for the entire blockchain project, then extracts and processes features through artificial intelligence, and then assesses the risk through a model of blockchain project risk assessment based on multi-dimensional factors, and finally visualizes the risk assessment of the project; it is convenient for all users to have an intuitive understanding of the risks of blockchain projects. In order to support investment decisions and supervision, it is also conducive to people outside the circle to understand and participate in blockchain projects more easily. Make the blockchain ecology more transparent and healthier, and promote the vigorous development of the entire blockchain ecology; the full coverage of risk assessment of projects in the blockchain ecology enables ordinary users to clearly understand the risks of blockchain projects, investors to have risk references, and supervision to be targeted. Let excellent blockchain projects get due attention, so that inferior projects cannot easily deceive ordinary users. The entire risk assessment system is easy to operate and the effect of use is better than that of traditional methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the overall structure of a system for performing risk assessment on blockchain projects in the present invention. DETAILED DESCRIPTION

[0016] The technical scheme of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, but it will be understood by those skilled in the art that the following described embodiments are part of embodiments of the present invention, rather than all embodiments, and are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of the present invention. If specific conditions are not specified in the embodiments, they are carried out according to normal conditions or conditions recommended by the manufacturer. If the manufacturer is not specified in the reagents or instruments used, they are all conventional products that can be purchased commercially.

[0017] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0018] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0019] like Figure 1 As shown, a system for risk assessment of blockchain projects includes a data collection module, a feature extraction and processing module, a risk assessment module and a risk visualization module. The data collection module is connected to the feature extraction and processing module, the feature extraction and processing module is connected to the risk assessment module, and the risk assessment module is connected to the risk visualization module. The data collection module includes a blockchain browser collection module, a social media collection module, a news website collection module, a project network collection module and an open source code collection module. The feature extraction and processing module includes a security company audit module, a security accident module, an open source degree module, a vulnerability detection module and a vulnerability bounty module. Automated data collection is performed on the entire blockchain project, and then feature extraction and processing are performed through artificial intelligence. Risk assessment is then performed through a blockchain project risk assessment model based on multi-dimensional factors, and finally the risk assessment of the project is visualized.

[0020] Furthermore, the output end of the data acquisition module is connected to the input end signal of the feature extraction and processing module, the output end of the feature extraction and processing module is connected to the input end signal of the risk assessment module, and the output end of the risk assessment module is connected to the input end signal of the risk visualization module.

[0021] Furthermore, the data collection module is responsible for collecting information related to the blockchain project from multiple data sources, including technical documents, team background, and market data. The data sources may include public blockchain browsers, social media, news websites, project official websites, and open source codes.

[0022] Furthermore, the feature extraction and processing module processes and extracts features from the collected raw data for subsequent analysis and modeling. The feature extraction and processing module uses natural language processing technology and data cleaning algorithms to convert data into features that can be used for model training.

[0023] Furthermore, the risk assessment module develops a model for risk assessment of blockchain projects based on machine learning and data analysis technology. The model takes into account whether the security company has conducted an audit, whether security incidents have occurred, whether the code is open source and the degree to which it is open source, vulnerability detection of open source code, whether a vulnerability bounty has been issued, as well as factors in multiple dimensions such as technology, team, and market. The risk assessment module can give a corresponding risk score based on the characteristics of the project.

[0024] Furthermore, the data collection module and risk assessment module provide comprehensive risk assessment of projects in the blockchain ecosystem and can clearly understand the risks of blockchain projects.

[0025] Furthermore, the risk visualization module can display the risk performance of blockchain projects in different market environments based on the output of the evaluation module. At the same time, the risk visualization module displays the evaluation results in a visual way to help users understand the advantages and disadvantages of the project more intuitively.

[0026] Furthermore, the data collection module, feature extraction and processing module, risk assessment module and risk visualization module automatically collect data for the entire blockchain project, and then perform feature extraction and processing through artificial intelligence, and assess risks through a blockchain project risk assessment model based on multi-dimensional factors, and finally visualize the project's risk assessment.

[0027] How it works

[0028] The system consists of the following main components:

[0029] Data acquisition module:

[0030] This module is responsible for collecting information related to blockchain projects from multiple data sources, including technical documents, team background, market data, etc. Data sources can include public blockchain browsers, social media, news websites, project official websites, open source codes, etc.

[0031] Feature extraction and processing module:

[0032] The collected raw data needs to be processed and feature extracted for subsequent analysis and modeling. This module uses natural language processing technology, data cleaning algorithms, etc. to convert data into features that can be used for model training.

[0033] Risk Assessment Model:

[0034] Based on machine learning and data analysis technology, a model for blockchain project risk assessment is developed. The model takes into account whether the security company audit has been conducted, whether there have been security incidents, whether the code is open source and the degree to which it is open source, vulnerability detection of open source code, whether a vulnerability bounty is issued, and factors such as technology, team, and market. The model can give a corresponding risk score based on the characteristics of the project.

[0035] Risk Visualization Module:

[0036] Based on the output of the evaluation model, the system can display the risk performance of blockchain projects in different market environments. At the same time, the module can also display the evaluation results in a visual way to help users understand the advantages and disadvantages of the project more intuitively.

[0037] The present invention automatically collects data for the entire blockchain project, then extracts and processes features through artificial intelligence, and then evaluates the risk through a blockchain project risk assessment model based on multi-dimensional factors, and then visualizes the risk assessment of the project.

[0038] It is convenient for all users to have an intuitive understanding of the risks of blockchain projects. It supports investment decisions and supervision, and it is also conducive for people outside the circle to understand and participate in blockchain projects more easily. It makes the blockchain ecosystem more transparent and healthier, and promotes the vigorous development of the entire blockchain ecosystem.

[0039] It should be noted that, in this article, relational terms such as first and second (number one, number two), etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0040] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A system for risk assessment of blockchain projects, comprising a data acquisition module, a feature extraction and processing module, a risk assessment module and a risk visualization module, characterized in that: The data collection module is connected to the feature extraction and processing module, the feature extraction and processing module is connected to the risk assessment module, the risk assessment module is connected to the risk visualization module, the data collection module includes a blockchain browser collection module, a social media collection module, a news website collection module, a project network collection module and an open source code collection module, and the feature extraction and processing module includes a security company audit module, a security accident module, an open source degree module, a vulnerability detection module and a vulnerability bounty module.

2. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The output end of the data acquisition module is signal-connected to the input end of the feature extraction and processing module, the output end of the feature extraction and processing module is signal-connected to the input end of the risk assessment module, and the output end of the risk assessment module is signal-connected to the input end of the risk visualization module.

3. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The data acquisition module is responsible for collecting information related to the blockchain project from multiple data sources, including technical documents, team background, and market data. The data sources may include public blockchain browsers, social media, news websites, project official websites, and open source codes.

4. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The feature extraction and processing module processes and extracts features from the collected raw data for subsequent analysis and modeling. The feature extraction and processing module uses natural language processing technology and data cleaning algorithms to convert data into features that can be used for model training.

5. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The risk assessment module develops a model for risk assessment of blockchain projects based on machine learning and data analysis technology. The model takes into account whether the security company has conducted an audit, whether security incidents have occurred, whether the code is open source and the degree to which it is open source, vulnerability detection of open source code, whether a vulnerability bounty is issued, as well as factors in multiple dimensions such as technology, team, and market. The risk assessment module can give a corresponding risk score based on the characteristics of the project.

6. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The data collection module and risk assessment module conduct comprehensive risk assessment of projects in the blockchain ecosystem and can clearly understand the risks of blockchain projects.

7. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The risk visualization module can display the risk performance of blockchain projects under different market environments based on the output of the evaluation module. At the same time, the risk visualization module displays the evaluation results in a visual manner to help users understand the advantages and disadvantages of the project more intuitively.

8. A system for risk assessment of blockchain projects according to claim 1, characterized in that: The data collection module, feature extraction and processing module, risk assessment module and risk visualization module automatically collect data for the entire blockchain project, then extract and process features through artificial intelligence, and assess risks through a blockchain project risk assessment model based on multi-dimensional factors, and finally visualize the risk assessment of the project.

Images