Method and device for supervising cloud transaction information based on risk assessment

Through a risk assessment-based method, cloud transaction information is regulated, the risks of cloud service providers are evaluated, and the problems of false transactions and high-risk transactions are solved, and transaction transparency and consumer protection are improved.

CN119692997AInactive Publication Date: 2025-03-25WUHAN UNIV
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Patent Information

Application Number
CN202411494878.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-24
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, due to the lack of a comprehensive intelligent supervision system and the weak early warning mechanism, false transactions, fraudulent behaviors and high-risk transactions have occurred frequently, and consumer rights are damaged.

Method used

The cloud transaction information supervision method based on risk assessment is adopted to evaluate the internal and external risks of cloud service providers by obtaining historical and current transaction information, generate overall risk information, and provide consumers with risk warnings through internal, external and comprehensive risk control signals.

Benefits of technology

It improves the accuracy and comprehensiveness of risk assessment, provides intuitive risk warnings, helps consumers make smarter decisions, and reduces consumption risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of cloud computing, in particular to a cloud transaction information supervision method and device based on risk assessment, and the method comprises the steps: obtaining the historical cloud transaction information data of a current cloud service provider, comparing the historical cloud transaction information with the current transaction information, and obtaining the cloud transaction information of the current cloud service provider; the method comprises the following steps: determining whether a current consumer and a current cloud service provider have transacted within a certain time, and if not, performing stability assessment analysis based on risk information of the current cloud service provider from an internal cause risk perspective to obtain an internal cause safety coefficient, and credibility evaluation analysis is carried out based on the risk information of the current cloud service provider from the perspective of the external cause risk to obtain an external cause safety coefficient, so that the overall risk information of the transaction is generated according to the internal cause safety coefficient and the external cause safety coefficient. Therefore, the problem that in the related technology, due to the lack of a comprehensive intelligent supervision system and the weakness of an early warning mechanism, false transactions, fraudulent behaviors and high-risk transactions occur frequently, and the rights and interests of consumers are damaged is solved.
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Description

Technical Field

[0001] The present application relates to the field of cloud computing technology, and in particular to a cloud transaction information supervision method and device based on risk assessment. Background Art

[0002] Among the relevant technologies, the regulatory measures for cloud platforms usually involve technologies such as big data analysis. By collecting and analyzing large amounts of transaction data, regulators can identify abnormal transaction patterns, predict market trends and assess risks.

[0003] However, the regulatory mechanism in related technologies still has its limitations. On the one hand, the lack of a comprehensive and intelligent regulatory system, especially effective supervision of cloud service providers, has led to frequent false transactions, fraudulent behavior and high-risk transactions, which seriously challenge the fairness and security of the market. On the other hand, the weakness of the early warning mechanism has further aggravated the passive situation of consumers. When encountering the aforementioned problems, consumers often fall into an unfavorable situation due to the lack of timely warnings, and have no way to defend themselves against the infringement of their rights and interests.

[0004] In summary, given the limitations of current regulatory methods, there is an urgent need for innovative cloud transaction information supervision solutions to comprehensively improve transaction transparency, strengthen consumer protection, and promote the healthy and orderly development of cloud transactions. Summary of the invention

[0005] The present application provides a cloud transaction information supervision method, device and electronic equipment based on risk assessment to solve the problem in related technologies that false transactions, fraudulent behaviors and high-risk transactions frequently occur due to the lack of a comprehensive intelligent supervision system and the weakness of the early warning mechanism, thereby damaging the rights and interests of consumers.

[0006] The first aspect of the present application provides a method for supervising cloud transaction information based on risk assessment, comprising the following steps: obtaining historical cloud transaction information data of the current cloud service provider, and comparing the historical cloud transaction information with the current transaction information of the consumer to determine whether the consumer and the current cloud service provider have conducted transactions within a certain period of time; if no transactions have been conducted within a certain period of time, performing a stability assessment and analysis based on the risk information of the current cloud service provider from the perspective of internal risks to obtain an internal safety factor; performing a credibility assessment and analysis based on the risk information of the current cloud service provider from the perspective of external risks to obtain an external safety factor; and generating overall risk information of the transaction based on the internal safety factor and the external safety factor.

[0007] Through the above technical solution, historical and current transaction information can be comprehensively considered to determine whether consumers and cloud service providers have conducted transactions within a certain period of time. If no transactions have been conducted, the overall risk information of the transaction is generated based on the internal safety factor and the external safety factor to improve the accuracy and comprehensiveness of risk assessment.

[0008] Optionally, in one embodiment of the present application, after obtaining the intrinsic safety factor, it also includes: generating an intrinsic risk control signal based on the intrinsic safety factor; and using the intrinsic risk control signal to prompt the consumer of the stability of the current cloud service provider.

[0009] Through the above technical solution, consumers can be informed of the stability of the current cloud service provider through internal risk control signals, providing consumers with a basis for decision-making, reducing decision-making risks caused by lack of understanding of the provider's own operating conditions, and improving consumers' decision-making accuracy.

[0010] Optionally, in one embodiment of the present application, after obtaining the external factor safety factor, it also includes: generating an external factor risk control signal based on the external factor safety factor; and using the external factor risk control signal to prompt the consumer of the credibility of the current cloud service provider.

[0011] Through the above technical solution, consumers can be informed of the credibility of the current cloud service provider through external risk control signals, so that consumers can have a clearer understanding of the provider's reliability in complying with rules and handling customer relationships, which will help consumers better weigh the pros and cons when choosing a cloud service provider and improve the rationality and scientificity of consumer choices.

[0012] Optionally, in an embodiment of the present application, it also includes: generating a mixed risk control signal based on the overall risk information; generating a warning signal based on the mixed risk control signal, the internal risk control signal and the external risk control signal; and using the warning signal to display to the consumer.

[0013] Through the above technical solution, risk information obtained from internal, external and comprehensive assessments can be fully integrated to avoid the trouble of consumers having to interpret multiple risk information separately. The risk status of cloud service providers can be presented in an intuitive way, providing consumers with comprehensive and easy-to-understand risk warnings, improving consumers' decision-making efficiency and reducing consumers' consumption risks.

[0014] The second aspect of the present application provides a cloud transaction information supervision device based on risk assessment, including: an acquisition module, used to obtain historical cloud transaction information data of the current cloud service provider, and compare the historical cloud transaction information with the current transaction information of the consumer to determine whether the current consumer and the current cloud service provider have conducted transactions within a certain period of time; an internal risk assessment module, used to perform stability assessment analysis based on the risk information of the current cloud service provider from the perspective of internal risks when no transactions have been conducted within a certain period of time, so as to obtain an internal safety factor; an external risk assessment module, used to perform credibility assessment analysis based on the risk information of the current cloud service provider from the perspective of external risks, so as to obtain an external safety factor; a generation module, used to generate overall risk information of the transaction based on the internal safety factor and the external safety factor.

[0015] Through the above technical solution, historical and current transaction information can be comprehensively considered to determine whether consumers and cloud service providers have conducted transactions within a certain period of time. If no transactions have been conducted, the overall risk information of the transaction is generated based on the internal safety factor and the external safety factor to improve the accuracy and comprehensiveness of risk assessment.

[0016] Optionally, in one embodiment of the present application, the intrinsic risk assessment module includes: a first generation unit, used to generate an intrinsic risk control signal based on the intrinsic safety factor; and a first prompt unit, used to use the intrinsic risk control signal to prompt the consumer of the stability of the current cloud service provider.

[0017] Through the above technical solution, consumers can be informed of the stability of the current cloud service provider through internal risk control signals, providing consumers with a basis for decision-making, reducing decision-making risks caused by lack of understanding of the provider's own operating conditions, and improving consumers' decision-making accuracy.

[0018] Optionally, in one embodiment of the present application, the external risk assessment module includes: a second generation unit, used to generate an external risk control signal based on the external safety factor; a second prompt unit, used to use the external risk control signal to prompt the consumer of the credibility of the current cloud service provider.

[0019] Through the above technical solution, consumers can be informed of the credibility of the current cloud service provider through external risk control signals, so that consumers can have a clearer understanding of the provider's reliability in complying with rules and handling customer relationships, which will help consumers better weigh the pros and cons when choosing a cloud service provider and improve the rationality and scientificity of consumer choices.

[0020] Optionally, in one embodiment of the present application, the generation module includes: a third generation unit, used to generate a mixed risk control signal based on the overall risk information; a fourth generation unit, used to generate a warning signal based on the mixed risk control signal, the internal risk control signal and the external risk control signal; and a warning unit, used to use the warning signal to display to the consumer.

[0021] Through the above technical solution, risk information obtained from internal, external and comprehensive assessments can be fully integrated to avoid the trouble of consumers having to interpret multiple risk information separately. The risk status of cloud service providers can be presented in an intuitive way, providing consumers with comprehensive and easy-to-understand risk warnings, improving consumers' decision-making efficiency and reducing consumers' consumption risks.

[0022] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the risk assessment-based cloud transaction information supervision method as described in the above embodiment.

[0023] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned risk assessment-based cloud transaction information supervision method.

[0024] The fifth aspect of the present application provides a computer program, including a computer program, which, when executed, is used to implement the above-mentioned risk assessment-based cloud transaction information supervision method.

[0025] The embodiments of the present application can comprehensively consider historical and current transaction information to determine whether the consumer and the cloud service provider have conducted transactions within a certain period of time. If no transaction has been conducted, the overall risk information of the transaction is generated based on the internal safety factor and the external safety factor, thereby improving the accuracy and comprehensiveness of risk assessment; the stability of the current cloud service provider can be prompted to the consumer through the internal risk control signal, providing the consumer with a basis for decision-making, reducing the decision-making risk caused by the lack of understanding of the provider's own operating conditions, and thus improving the accuracy of the consumer's decision-making; the credibility of the current cloud service provider can be prompted to the consumer through the external risk control signal, so that the consumer can have a clearer understanding of the reliability of the provider in complying with the rules and handling customer relationships, which helps the consumer to better weigh the pros and cons when choosing a cloud service provider, and improves the rationality and scientificity of the consumer's choice; the risk information obtained from the internal, external and comprehensive perspectives can be fully integrated to avoid the trouble of consumers having to interpret multiple risk information separately, and the risk status of the cloud service provider can be presented in an intuitive way to provide consumers with comprehensive and easy-to-understand risk warnings, thereby improving the decision-making efficiency of consumers and reducing their consumption risks.

[0026] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0028] Figure 1 A schematic diagram of the structure of a cloud transaction information supervision system based on risk assessment according to an embodiment of the present application;

[0029] Figure 2 A flowchart of a cloud transaction information supervision method based on risk assessment provided according to an embodiment of the present application;

[0030] Figure 3 A schematic diagram of the structure of a cloud transaction information supervision device based on risk assessment according to an embodiment of the present application;

[0031] Figure 4 This is an example diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0032] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0033] The following describes the cloud transaction information supervision method, device and system based on risk assessment of the embodiment of the present application with reference to the accompanying drawings. In view of the problem that the lack of a comprehensive intelligent supervision system and the weakness of the early warning mechanism in the related technologies mentioned in the above background technology lead to frequent false transactions, fraudulent behavior and high-risk transactions, thereby damaging the rights and interests of consumers, the present application provides a cloud transaction information supervision method based on risk assessment, in which the embodiment of the present application can obtain the background information and transaction information of the cloud service provider in the historical transaction records, thereby calculating the internal risk coefficient and external risk coefficient of the cloud service provider, which is helpful to provide security for cloud transactions, and effectively evaluate the stability and credibility of the cloud service provider in cloud transactions using indicators such as the internal safety coefficient and the external safety coefficient, thereby effectively supervising the transactions between consumers and cloud service providers, and can display the risk results generated by the supervision system assessment to consumers through the early warning display, which helps consumers to conduct safe transactions and avoid economic losses and information losses. Thus, the problem that the lack of a comprehensive intelligent supervision system and the weakness of the early warning mechanism in the related technologies lead to frequent false transactions, fraudulent behavior and high-risk transactions, thereby damaging the rights and interests of consumers is solved.

[0034] In view of the fact that the risk assessment-based cloud transaction information supervision method of the embodiment of the present application is based on a risk assessment-based cloud transaction information supervision system, the system is first introduced here to help understand the principle of the method.

[0035] like Figure 1 As shown, Figure 1 The cloud transaction information supervision system based on risk assessment of the embodiment of the present application includes: a central control module 1, a security assessment and analysis module 2, an internal risk module 3, an external risk module 4, a transaction risk analysis module 5 and an early warning display module 6.

[0036] In an embodiment of the present application, the central control module 1 generates an instruction to the security assessment and analysis module 2, which obtains data for comparison and sends a signal to the internal risk module 3 and the external risk module 4. The internal risk module 3 obtains an internal safety factor based on internal information and sends it to the transaction risk analysis module 5 and the early warning display module 6. The external risk module 4 obtains an external safety factor based on external information and sends it to the transaction risk analysis module 5 and the early warning display module 6. The transaction risk analysis module 5 combines the mixed safety factor obtained by analysis and processes it and then sends a signal to the early warning display module 6. The early warning display module 6 displays the signal and warns consumers when the risk is high.

[0037] Specifically, Figure 2 A flowchart of a cloud transaction information supervision method based on risk assessment provided in an embodiment of the present application.

[0038] like Figure 2 As shown, the cloud transaction information supervision method based on risk assessment includes the following steps:

[0039] In step S201, historical cloud transaction information data of the current cloud service provider is obtained, and the historical cloud transaction information is compared with the current transaction information of the consumer to determine whether the current consumer and the current cloud service provider have conducted transactions within a certain period of time.

[0040] It is understandable that historical cloud transaction information data is a collection of records of various transaction-related information that cloud service providers have been involved in in past cloud transactions. This information may include but is not limited to transaction time, transaction amount, transaction type, service provision content, etc.

[0041] During the actual implementation process, when the cloud transaction platform generates new cloud transaction information, the central control module of the cloud transaction information supervision system will immediately generate a security instruction and send it to the security assessment and analysis module. After receiving the security instruction, the security assessment and analysis module determines the length of time the consumer has been in the previous period of time before the current cloud transaction, and marks it as the time threshold. The historical cloud transaction information data and basic information data of the current cloud service provider within the time threshold are obtained through the database: if there is no historical cloud transaction between the current cloud service provider and the current consumer, a risk signal is generated; if there is a historical cloud transaction between the current cloud service provider and the current consumer, it means that the two have conducted cloud transactions within the time threshold, and no risk signal is generated.

[0042] The embodiment of the present application can compare historical cloud transaction information with the consumer's current transaction information, and can accurately determine whether the current consumer has conducted transactions with the cloud service provider, thereby providing a basis for subsequently adopting corresponding risk assessment strategies according to different situations.

[0043] In step S102, if no transaction has been conducted within a certain period of time, a stability assessment analysis is performed based on the risk information of the current cloud service provider from the perspective of internal risk to obtain an internal safety factor.

[0044] It is understandable that internal risks include but are not limited to basic information such as the cloud service provider's transaction volume within 30 days and the number of available servers of the cloud service provider. The internal safety factor is an evaluation indicator, which is calculated by analyzing the internal risks of the cloud service provider. It can reflect the service security and reliability of the provider when only internal risk factors are considered.

[0045] Optionally, in one embodiment of the present application, after obtaining the intrinsic safety factor, it also includes: generating an intrinsic risk control signal based on the intrinsic safety factor; and using the intrinsic risk control signal to prompt consumers of the stability of the current cloud service provider.

[0046] In some embodiments, the intrinsic safety factor of the current cloud service provider is obtained based on basic information including but not limited to the transaction volume of the cloud service provider within 30 days, the number of available servers of the cloud service provider, etc. These basic information represent the information of the cloud service provider itself and have nothing to do with cloud consumers and cloud transactions. Therefore, they are called intrinsic risks. In particular, the transaction volume of the cloud service provider is only used to measure the popularity of the cloud service provider in cloud transactions, which will also be regarded as an intrinsic risk. Furthermore, the intrinsic safety factor is compared and analyzed with a certain intrinsic safety factor threshold value that is internally entered and stored.

[0047] Specifically, the more transactions a cloud service provider has within 30 days and the more available servers the cloud service provider has, the more stable the current cloud service provider is and the lower the risk of conducting cloud transactions with it. The internal risks corresponding to the basic information of other cloud service providers are judged in the same way.

[0048] Furthermore, the calculation method of the internal safety factor is to divide the basic information of the current cloud service provider into different levels according to a certain range, and give different levels of corresponding risk scores, and take the sum of the internal safety scores of the current cloud service provider as its internal safety factor. The comparative analysis method is to generate no signal when the internal safety factor is greater than or equal to a certain internal safety factor threshold; and generate an internal risk control signal when the internal safety factor is less than a certain internal safety factor threshold.

[0049] The embodiment of the present application can divide the basic information into a certain range and give a risk score, and then sum it up to obtain the intrinsic safety factor, so as to quantitatively reflect the internal risk status of the provider; different levels of basic information correspond to different scores, so as to improve the scientificity and accuracy of the evaluation results; the intrinsic safety factor is compared and analyzed with a certain threshold, and an intrinsic risk control signal is generated or not generated according to the comparison result, so as to promptly inform consumers of the stability of the provider.

[0050] In step S103, a reputation evaluation analysis is performed based on the risk information of the current cloud service provider from the perspective of external risk to obtain an external safety factor.

[0051] It is understandable that external risks include but are not limited to transaction information such as the number of times the cloud service provider violates platform regulations and the number of times the cloud service provider is complained by consumers. The external safety factor is an evaluation indicator, which is calculated by analyzing the external risks of the cloud service provider. It can reflect the service credit value and reputation value of the provider when only external risk factors are considered.

[0052] Optionally, in one embodiment of the present application, after obtaining the external factor safety factor, it also includes: generating an external factor risk control signal based on the external factor safety factor; and using the external factor risk control signal to prompt consumers of the credibility of the current cloud service provider.

[0053] In some embodiments, the external safety factor of the current cloud service provider is obtained based on transaction information including but not limited to the number of times the cloud service provider violates platform regulations and the number of times the cloud service provider is complained by consumers. These transaction information represent the information generated by transactions between the cloud service provider and cloud consumers, and are related to cloud consumers and cloud transactions, and are therefore called external risks. Furthermore, the external safety factor is compared and analyzed with a certain external safety factor threshold value that is internally entered and stored.

[0054] Specifically, the fewer times a cloud service provider violates platform regulations and the fewer times a cloud service provider is complained about by consumers, the higher the credibility of the current cloud service provider and the lower the risk of conducting cloud transactions with it. The external risks corresponding to the transaction information of other cloud service providers are judged in the same way.

[0055] Furthermore, the calculation method of the external safety factor is to divide the transaction information of the current cloud service provider into different levels according to a certain range, and give different levels of corresponding risk scores, and take the sum of the external safety scores of the current cloud service provider as its external safety factor. The comparative analysis method is to generate no signal when the external safety factor is greater than or equal to a certain external safety factor threshold; and generate an external risk control signal when the external safety factor is less than a certain external safety factor threshold.

[0056] The embodiment of the present application can divide the transaction information according to a certain range and give risk scores, and then sum them up to obtain the external safety factor, so as to quantitatively reflect the external risk status of the provider; different levels of transaction information correspond to different scores, so as to improve the scientificity and accuracy of the evaluation results; the external safety factor is compared and analyzed with a certain threshold, and an external risk control signal is generated or not generated according to the comparison result, so as to promptly inform consumers of the credibility of the provider.

[0057] In step S104, overall risk information of the transaction is generated based on the internal safety factor and the external safety factor.

[0058] It can be understood that the embodiments of the present application can comprehensively consider the safety factors of both internal and external factors, and through a specific algorithm or evaluation model, combine the two factors to comprehensively evaluate the overall risk of the transaction, providing consumers with a more accurate basis for risk judgment.

[0059] Optionally, in an embodiment of the present application, it also includes: generating a mixed risk control signal based on the overall risk information; generating a warning signal based on the mixed risk control signal, the internal risk control signal and the external risk control signal; and using the warning signal to display to consumers.

[0060] On the one hand, the embodiment of the present application can obtain the internal safety factor and the external safety factor of the current transaction, calculate the mixed safety factor, and compare and analyze the mixed safety factor with a certain mixed safety factor threshold value stored internally. The mixed safety factor is calculated by averaging the internal safety factor and the external safety factor according to the number of basic information types and transaction information types used, and then adding them together. The comparative analysis method is that when the mixed safety factor is less than a certain mixed safety factor threshold, no signal is generated; when the mixed safety factor is greater than or equal to a certain mixed safety factor threshold, a mixed risk control signal is generated.

[0061] On the other hand, after the system completes the risk assessment and analysis of the cloud service provider, the early warning display module will display the internal risk control signals, external risk control signals and mixed risk control signals in a clear and intuitive manner on the specific interface of the system, and issue warnings to consumers when the risk level is high.

[0062] The embodiments of the present application can use a specific algorithm to calculate a hybrid safety factor to integrate internal risks and external risks, generate a hybrid risk control signal by comparing and analyzing with a certain threshold of the hybrid safety factor, and generate an early warning signal based on the hybrid risk control signal, the internal risk control signal and the external risk control signal, so as to more accurately identify risks of different degrees and issue warnings to consumers in a timely manner, thereby helping consumers make reasonable trading decisions.

[0063] According to the risk assessment-based cloud transaction information supervision method proposed in the embodiment of the present application, the background information and transaction information of the cloud service provider in the historical transaction records can be obtained to calculate the internal risk coefficient and external risk coefficient of the cloud service provider, which helps to provide protection for the security of cloud transactions. Indicators such as the internal safety coefficient and the external safety coefficient can be used to effectively evaluate the stability and credibility of the cloud service provider in cloud transactions, thereby playing an effective regulatory role in transactions between consumers and cloud service providers. The risk results generated by the supervision system assessment are displayed to consumers through early warning displays, which helps consumers conduct safe transactions and avoid economic losses and information losses.

[0064] Next, a cloud transaction information supervision device based on risk assessment proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0065] Figure 3 It is a block diagram of a cloud transaction information supervision device based on risk assessment in an embodiment of the present application.

[0066] like Figure 3 As shown, the cloud transaction information supervision device 10 based on risk assessment includes: an acquisition module 100, an internal risk assessment module 200, an external risk assessment module 300 and a generation module 400.

[0067] Specifically, the acquisition module 100 is used to obtain historical cloud transaction information data of the current cloud service provider, and compare the historical cloud transaction information with the consumer's current transaction information to determine whether the current consumer and the current cloud service provider have conducted transactions within a certain period of time.

[0068] The internal risk assessment module 200 is used to perform stability assessment and analysis based on the risk information of the current cloud service provider from the perspective of internal risk when no transaction has been conducted within a certain period of time, so as to obtain the internal safety factor.

[0069] The external risk assessment module 300 is used to perform reputation assessment and analysis based on the risk information of the current cloud service provider from the perspective of external risk, so as to obtain an external safety factor.

[0070] The generation module 400 is used to generate overall risk information of the transaction based on the internal safety factor and the external safety factor.

[0071] Optionally, in one embodiment of the present application, the internal risk assessment module 200 includes: a first generating unit and a first prompting unit.

[0072] Among them, the first generating unit is used to generate an internal risk control signal based on the internal safety factor.

[0073] The first prompting unit is used to use the internal risk control signal to prompt the consumer of the stability of the current cloud service provider.

[0074] Optionally, in one embodiment of the present application, the external risk assessment module 300 includes: a second generating unit and a second prompting unit.

[0075] Among them, the second generating unit is used to generate an external risk control signal based on the external safety factor.

[0076] The second prompting unit is used to use external risk control signals to prompt consumers about the credibility of the current cloud service provider.

[0077] Optionally, in one embodiment of the present application, the generation module 400 includes: a third generation unit and a fourth generation unit.

[0078] Among them, the third generating unit is used to generate a hybrid risk control signal based on the overall risk information.

[0079] The fourth generation unit is used to generate a warning signal based on the mixed risk control signal, the internal risk control signal and the external risk control signal; the warning unit is used to use the warning signal to display to consumers.

[0080] It should be noted that the aforementioned explanation of the embodiment of the cloud transaction information supervision method based on risk assessment is also applicable to the cloud transaction information supervision device based on risk assessment of this embodiment, and will not be repeated here.

[0081] According to the cloud transaction information supervision device based on risk assessment proposed in the embodiment of the present application, the background information and transaction information of the cloud service provider in the historical transaction records can be obtained to calculate the internal risk coefficient and external risk coefficient of the cloud service provider, which helps to provide protection for the security of cloud transactions. Indicators such as the internal safety coefficient and the external safety coefficient are used to effectively evaluate the stability and credibility of the cloud service provider in cloud transactions, thereby playing an effective supervision role in transactions between consumers and cloud service providers. The risk results generated by the supervision system assessment are displayed to consumers through early warning displays, which helps consumers to conduct safe transactions and avoid economic losses and information losses.

[0082] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0083] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0084] When the processor 402 executes the program, the cloud transaction information supervision method based on risk assessment provided in the above embodiment is implemented.

[0085] Furthermore, the electronic device further comprises:

[0086] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0087] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0088] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (NVM for short), such as at least one disk memory.

[0089] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0090] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0091] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0092] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned risk assessment-based cloud transaction information supervision method.

[0093] An embodiment of the present application also provides a computer program, including a computer program, which, when executed, is used to implement the above-mentioned risk assessment-based cloud transaction information supervision method.

[0094] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0095] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0096] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0097] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0098] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0099] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0100] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0101] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for supervising cloud transaction information based on risk assessment, characterized in that: The following steps are involved: Obtain historical cloud transaction information data of the current cloud service provider, and compare the historical cloud transaction information with the consumer's current transaction information to determine whether the consumer has conducted transactions with the current cloud service provider within a certain period of time; If no transaction has been conducted within a certain period of time, a stability assessment and analysis is performed based on the risk information of the current cloud service provider from the perspective of internal risk to obtain an internal safety factor; From the perspective of external risk, a reputation assessment analysis is performed based on the risk information of the current cloud service provider to obtain an external safety factor; The overall risk information of the transaction is generated according to the internal safety factor and the external safety factor.

2. The method according to claim 1, characterized in that: After obtaining the internal safety factor, it also includes: Based on the internal safety factor, generating an internal risk control signal; The internal risk control signal is used to inform the consumer of the stability of the current cloud service provider.

3. The method according to claim 2, characterized in that After obtaining the external safety factor, it also includes: Based on the external safety factor, generating an external risk control signal; The external risk control signal is used to inform the consumer of the credibility of the current cloud service provider.

4. The method according to claim 3, characterized in that Also includes: generating a hybrid risk control signal based on the overall risk information; Generate an early warning signal based on the mixed risk control signal, the internal risk control signal and the external risk control signal; The early warning signal is utilized to display to the consumer.

5. A cloud transaction information supervision device based on risk assessment, characterized in that: include: An acquisition module is used to acquire historical cloud transaction information data of the current cloud service provider, and compare the historical cloud transaction information with the consumer's current transaction information to determine whether the consumer has conducted transactions with the current cloud service provider within a certain period of time; An internal risk assessment module is used to perform stability assessment and analysis based on the risk information of the current cloud service provider from the perspective of internal risk when no transaction has been conducted for a certain period of time, so as to obtain an internal safety factor; An external risk assessment module, used to perform a reputation assessment analysis based on the risk information of the current cloud service provider from the perspective of external risk, so as to obtain an external safety factor; A generation module is used to generate overall risk information of a transaction based on the internal safety factor and the external safety factor.

6. The device according to claim 5, characterized in that The internal risk assessment module includes: A first generating unit, configured to generate an internal risk control signal based on the internal safety factor; The first prompting unit is used to use the internal risk control signal to prompt the consumer about the stability of the current cloud service provider.

7. The device according to claim 5, characterized in that The external risk assessment module includes: A second generating unit, configured to generate an external risk control signal based on the external safety factor; The second prompting unit is used to use the external risk control signal to prompt the consumer about the credibility of the current cloud service provider.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the risk assessment-based cloud transaction information supervision method as described in any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the cloud transaction information supervision method based on risk assessment as described in any one of claims 1-4.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the risk assessment-based cloud transaction information supervision method as described in any one of claims 1-4.

Citation Information

Patent Citations

  • Big data e-commerce transaction method and e-commerce transaction system

    CN118071467A

  • System and method for supervising cloud service resources

    CN118642911A