Security management and control method and system for green light and green certificate transaction data

Abstract

The invention relates to the technical field of transaction data and information management and control, in particular to a safety management and control method and system for green power and green certificate transaction data, and the method comprises the following steps: obtaining the original transaction data of green power and green certificate through a green power and green certificate transaction system, establishing a transaction data aggregation model to perform aggregation processing on the original transaction data and obtaining a transaction data set of green electricity and green certificate; constructing a green-light and green-certificate transaction data management mechanism, and performing sorting adjustment and feature extraction on the transaction data set by using the management mechanism to obtain a green-light and green-certificate transaction data storage library; designing a transaction data encryption module, performing encryption protection on the transaction data storage library according to the module, and obtaining encrypted transaction data information; effective management and secure transmission of green electricity and green certificate transaction data are realized based on the transaction data storage library and the transaction data information. According to the invention, data management efficiency, processing efficiency and security are improved, transaction security compliance is promoted, and energy transformation and green development are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of transaction data and information management and control, and specifically to a method and system for secure management and control of green electricity and green certificate transaction data. Background Art

[0002] With the advancement of the dual carbon goals, the trading of green electricity and green electricity certificates has received increasing attention. Green electricity trading specifically refers to electricity trading with green electricity products as the subject matter, which can meet the needs of market entities such as power generation companies, power sales companies, and power users to sell, purchase, and consume green electricity. The green certificate is an electronic certificate with an identification code issued by the state for each megawatt-hour of non-hydro renewable energy grid-connected electricity produced by power generation companies. It is a confirmation and attribute proof of non-hydro renewable energy power generation. In the process of green electricity and green certificate trading, the security and integrity of transaction data are crucial. The relevant data not only involves the rights and interests of both parties to the transaction, but also the fairness and transparency of the entire electricity market. Therefore, an effective security management and control method is needed to ensure the effective management and security control of transaction data.

[0003] The current security management and control system for green electricity and green certificate trading data has obvious shortcomings in the collection, analysis and utilization of trading data, which directly affects the systematic organization, classification analysis and key feature extraction of trading data. Existing methods and technologies cannot fully explore and utilize data, thus affecting the actual effectiveness and feasibility of the entire trading data security management system. Related problems weaken the effective implementation of data security management measures, and also make the accuracy and timeliness of security risk assessment defective, making it difficult to reflect the security situation and information change trends in the transaction process in real time. Summary of the invention

[0004] In view of the shortcomings of existing methods and the needs of practical applications, in order to enhance the management efficiency and security of green electricity green certificate transaction data, the present invention introduces a data transmission and processing model to aggregate, sort and analyze transaction data, and provide technical support for the safe adjustment and real-time monitoring of relevant data of the transaction system. On the one hand, the present invention provides a method for the safe management and control of green electricity green certificate transaction data, which includes the following steps: obtaining the original transaction data of green electricity green certificates through a green electricity green certificate transaction system, establishing a transaction data aggregation model to aggregate and process the original transaction data, and obtaining a transaction data set of green electricity green certificates; constructing a green electricity green certificate transaction data management mechanism, and using the green electricity green certificate transaction data management mechanism to sort, adjust and extract features from the transaction data set to obtain a transaction data repository of green electricity green certificates; designing a transaction data encryption module, encrypting and protecting the transaction data repository according to the transaction data encryption module, and obtaining encrypted transaction data information; based on the transaction data repository and the transaction data information, effective management and secure transmission of green electricity green certificate transaction data are achieved. The present invention can improve data management efficiency, strengthen data security and privacy protection, as well as decision support and risk management optimization through the transaction data management method, which helps to improve the security and reliability of the transaction system, and at the same time provide support for the development of renewable energy and the transformation of the green economy.

[0005] Optionally, the establishing of a transaction data aggregation model to aggregate the original transaction data includes: establishing a transaction data aggregation model based on the green electricity green certificate trading system; The transaction data aggregation model satisfies the following relationship: in, Represents a subset of green power green certificate transaction data after aggregation processing, Represents the weight coefficient corresponding to the transaction data aggregation model, Represents a subset of the original green electricity green certificate transaction data, represents different parameter points where data converges, express The present invention establishes a transaction data aggregation model to aggregate the original transaction data, which can quickly process a large amount of transaction data and generate a data set after aggregation processing, which helps to shorten the data processing time and improve the operation efficiency of the data monitoring system.

[0006] Optionally, the step of establishing a transaction data aggregation model to aggregate the original transaction data and obtain a transaction data set of green electricity and green certificates includes: obtaining a subset of green electricity and green certificate transaction data in the original transaction data through the transaction data aggregation model; and obtaining an aggregated green electricity and green certificate transaction data set by combining the subset of green electricity and green certificate transaction data; The green electricity green certificate transaction data set satisfies the following relationship: in, Represents the aggregated green power green certificate transaction data set, Indicates the first Sub-collection, Indicates the first Sub-collection, Indicates the first The data set of the present invention has higher data quality and consistency, which helps to promote the innovation and application of data mining technology and provides an information basis for transaction data security management and control methods.

[0007] Optionally, the construction of the green electricity green certificate transaction data management mechanism includes: constructing a green electricity green certificate transaction data management mechanism based on the green electricity green certificate transaction data set, and the green electricity green certificate transaction data management mechanism includes: a data sorting and arranging model and a data feature extraction model. The data sorting and arranging model and the data feature extraction model of the present invention are beneficial to improving data quality, enhancing decision support, promoting data sharing and collaboration, and promoting technological innovation, and are helpful to improve the management level of green electricity green certificate transaction data.

[0008] Optionally, the step of using the green electricity green certificate transaction data management mechanism to sort and adjust the transaction data set and extract features to obtain a transaction data repository for green electricity green certificates includes: introducing a data arrangement method to establish a data sorting and arranging model, and using the data sorting and arranging model to sort the transaction data set to obtain an arrangement information set of green electricity green certificate transaction data; The arrangement information set satisfies the following relationship: in, Represents the arrangement information set of green power green certificate transaction data, It indicates the green electricity green certificate transaction data corresponding to the first time series after sorting. It represents the green electricity green certificate transaction data corresponding to the second time series after sorting. Indicates the first Green power green certificate transaction data corresponding to the time series. The present invention arranges the transaction data according to the time series or specific rules through the sorting and sorting model, making the transaction data more orderly and clear, which helps to understand and analyze the transaction data faster and improve the readability of the data.

[0009] Optionally, the use of the green electricity green certificate transaction data management mechanism to sort and adjust the transaction data set and extract features to obtain a transaction data repository for green electricity green certificates includes: setting feature extraction parameters of transaction data in the data feature extraction model; performing feature extraction on the arrangement information set according to the feature extraction parameters to obtain a transaction data repository for green electricity green certificates. The present invention uses the green electricity green certificate transaction data management mechanism to sort and adjust the transaction data set and extract features, which helps to improve data quality and accuracy, while improving data analysis efficiency and enhancing data mining and prediction capabilities.

[0010] Optionally, setting the feature extraction parameters of the transaction data in the data feature extraction model includes: setting the feature extraction parameters of the transaction data based on the features of the transaction data, the feature extraction parameters including the degree of fluctuation, trend change and stability; The degree of fluctuation satisfies the following relationship: in, Indicates the extreme value of green power green certificate transaction data in different time series, Indicates the maximum value of green power green certificate transaction data in different time series, Represents the minimum value of green power green certificate transaction data in different time series, Indicates the discrete coefficient corresponding to the green electricity green certificate transaction data of different time series, Represents the quantity in green power green certificate transaction data of different time series, express The data sample points in Represents the average value of green electricity and green certificate transaction data in different time series; The trend transformation satisfies the following relationship: in, Represents the correlation coefficient of green power green certificate transaction data in different time series, Represents the quantity in green power green certificate transaction data of different time series, Represents the characterization parameters of green power green certificate transaction data, express The data sample points in Indicates the maximum value of green power green certificate transaction data in different time series, Represents the minimum value in green power green certificate transaction data of different time series; The stability condition satisfies the following relationship: in, Represents the waveform entropy of green power green certificate transaction data in different time series, Represents the quantity in green power green certificate transaction data of different time series, Represents the signal waveform energy of green power green certificate trading data in different time series, Represents the center distance of green electricity green certificate transaction data.

[0011] The present invention quantifies the fluctuation degree, trend change and stability of transaction data through mathematical relationships, making the data analysis results more objective and accurate.

[0012] Optionally, the design of the transaction data encryption module, encrypting and protecting the transaction data repository according to the transaction data encryption module, and obtaining the encrypted transaction data information includes: constructing a data repository encryption model in the transaction data encryption module based on a homomorphic encryption algorithm; encrypting and protecting the transaction data repository according to the data repository encryption model, and obtaining the encrypted transaction data information. The present invention performs encryption operations on system transaction data based on a homomorphic encryption algorithm, which helps to ensure the confidentiality of transaction data during transmission and storage.

[0013] Optionally, constructing a data repository encryption model in the transaction data encryption module based on a homomorphic encryption algorithm includes: setting a key generation function, a ciphertext analysis function, and a decryption processing function in the data repository encryption model; The key generation function satisfies the following relationship: in, The table generates the output of the metafunction, represents the generator used to generate the cyclic group, Indicates the key length, represents a specific integer, Indicates the least common multiple result sought, represents the modulo operation, Indicates a composite number; The ciphertext analysis function satisfies the following relationship: in, Indicates the ciphertext result output by the encryption operation model. represents a specific integer, Indicates a composite number, Represents the random number selected, Indicates the information that needs to be encrypted. Represents modulo operation; The decryption processing function satisfies the following relationship: in, Indicates the plaintext information output by the decryption processing model. Indicates the key length, Indicates the ciphertext result output by the encryption operation model. Indicates the least common multiple result sought, represents the modulo operation, Indicates a composite number, Represents a specific integer.

[0014] The present invention constructs a data repository encryption model in the transaction data encryption module based on the homomorphic encryption algorithm, and sets a key generation function, a ciphertext analysis function and a decryption processing function, which can enhance the security of transaction data, improve data processing efficiency, and improve data management effectiveness, etc., and help to better manage and utilize system transaction data.

[0015] In the second aspect, in order to be able to efficiently execute a method for the security control of green electricity green certificate transaction data provided by the present invention, the present invention also provides a system for the security control of green electricity green certificate transaction data, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method for the security control of green electricity green certificate transaction data as in the first aspect of the present invention. The system for the security control of green electricity green certificate transaction data of the present invention has a compact structure and stable performance, and can stably execute the method for the security control of green electricity green certificate transaction data provided by the present invention, thereby improving the overall applicability and practical application capabilities of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of the method for secure management and control of green electricity and green certificate transaction data of the present invention; Figure 2 It is a schematic diagram of comparing green electricity green certificate transaction data before and after aggregation processing in the green electricity green certificate transaction data security management and control method of the present invention; Figure 3 A schematic diagram of arrangement cluster information of green electricity green certificate transaction data in the green electricity green certificate transaction data security control method of the present invention; Figure 4 This is a structural diagram of the security management and control system for green electricity and green certificate transaction data of the present invention. DETAILED DESCRIPTION

[0017] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0018] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0019] See also Figure 1 In order to strengthen the management efficiency of green electricity green certificate transaction data and improve its security level, the present invention optimizes the security management method and system of green electricity green certificate transaction data to achieve the aggregation, analysis and processing of transaction data, and at the same time ensure the confidentiality and security of transaction data during transmission and storage based on the confidentiality mechanism, which is conducive to the safe management and scientific adjustment of green electricity green certificate transaction data, and can effectively manage and utilize transaction data to enhance the overall enterprise competitiveness and market position. The present invention provides a security management method for green electricity green certificate transaction data, and the above-mentioned security management method for green electricity green certificate transaction data includes the following steps: S1. Obtain the original transaction data of green electricity green certificates through the green electricity green certificate trading system, establish a transaction data aggregation model to aggregate the original transaction data, and obtain the transaction data set of green electricity green certificates. The specific implementation steps and contents are as follows: First, the original transaction data of green electricity green certificates is obtained through the green electricity green certificate trading system.

[0020] The original transaction data of green power and green certificates are collected and uploaded based on the green power and green certificate trading system. The original transaction data comes from multiple channels, including but not limited to the real-time grid-connected power records of power generation enterprises, transaction information of both parties, and green certificate issuance and circulation records. In order to ensure the accuracy and completeness of the transaction data, the above original transaction data needs to be strictly screened and verified.

[0021] The collected green electricity green certificate transaction data is uploaded and processed. The above steps are aimed at converting the original data into a format that the system can recognize, and preliminarily cleaning and organizing it for subsequent data analysis and processing. At the same time, the interaction and storage mechanism of the original transaction data of green electricity green certificates is triggered. After the data is uploaded, the user can interact with the on-chain database through the browser interface. The above interface is designed to be intuitive and easy to use, allowing relevant users to transfer data to the on-chain database. The database, as the core of the system data storage, uses blockchain technology, which helps to ensure the immutability and security of the original transaction data of green electricity green certificates, and thus provides technical guarantees for the long-term preservation and traceability of green electricity green certificate transaction data. At the same time, the green electricity green certificate trading system also has data retrieval and query functions, allowing relevant users to quickly find the corresponding transaction data information when needed.

[0022] Through the above process, the green electricity green certificate trading system comprehensively and accurately collects and stores the original transaction data of green electricity green certificates, providing an information basis for subsequent transaction data traceability, adjustment and security control.

[0023] Then, it is necessary to process and analyze the original transaction data of green electricity and green certificates.

[0024] After the collection and storage of the original transaction data of green electricity and green certificates are completed, the key stage of data processing and analysis begins. The core of this stage is to process and analyze the massive original transaction data, which is conducive to mining the key feature information of the original transaction data. In order to process the original transaction data of green electricity and green certificates with large data volume and rich sources, this embodiment establishes a transaction data aggregation model in the green electricity and green certificate transaction system.

[0025] In this embodiment, a green electricity green certificate original transaction data set D containing m original data items is set, and the following relationship is satisfied: , the above raw data set records the data of all aspects of the trading system. Then, the aggregation parameter point P of n multi-dimensional trading data is introduced, and the following relationship is satisfied: The above parameter points will serve as the benchmark for transaction data aggregation, which can more effectively compress and aggregate transaction data.

[0026] On the other hand, the above-mentioned aggregation parameter point P does not directly participate in the aggregation and calculation tasks of transaction data, but serves as a key reference node in the data aggregation processing flow. During the data aggregation process, each data item in the original data set D is aggregated to a specific data point according to its relationship with the aggregation parameter point, thereby realizing the compression and integration of the original transaction data, which facilitates subsequent data mining and analysis.

[0027] In the embodiment, a specific mathematical formula is used to describe the process of aggregating the original transaction data. In the process of constructing the transaction data aggregation model, the influence of relevant factors such as the weight coefficient, the original data, the aggregation parameter point, and the aggregation deviation is fully considered. The above transaction data aggregation model satisfies the following relationship: in, Represents a subset of green power green certificate transaction data after aggregation processing, Represents the weight coefficient corresponding to the transaction data aggregation model, Represents a subset of the original green electricity green certificate transaction data, represents different parameter points where data converges, express The convergence deviation index.

[0028] in Represents the data subset corresponding to the mth data subset after aggregation processing. As the input of the transaction data aggregation model, the subset of green electricity green certificate transaction data after aggregation processing refers to the data set extracted from the original green electricity green certificate transaction data set and focused on specific data points or parameter points after being processed by the transaction data aggregation model. The above subset is obtained after the original data is compressed, integrated and focused by the transaction data aggregation model, which can more concentratedly reflect the key characteristics or changing trends of green electricity green certificate transaction data.

[0029] The weight coefficient corresponding to the transaction data aggregation model refers to the numerical value assigned based on the overall importance in order to reflect the different aspects or characteristics of green electricity and green certificate transaction data in the multi-factor evaluation or decision-making process. It determines the contribution of the aggregation model in the aggregation process, thereby affecting the final data aggregation results.

[0030] It can also represent the mth subset of green electricity green certificate original transaction data, which refers to a subset of the green electricity green certificate transaction data set obtained and recorded from the green electricity green certificate trading system before aggregation processing and analysis. The above subset contains specific transaction information, such as the identity information of the two parties to the transaction, transaction electricity, number of green certificates issued, transaction price and transaction time.

[0031] It also represents different data aggregation parameter points, where each parameter point is different. In the data aggregation process, different parameter points refer to specific values ​​or conditions used to guide or influence the data aggregation process. In the aggregation process of the original transaction data of green electricity and green certificates, the parameter points directly determine the results of data focusing, compression and integration.

[0032] In the data aggregation model, the aggregation deviation index reflects the degree of deviation of data points in the aggregation process. The above deviation index is crucial for evaluating the accuracy and reliability of data aggregation. Each of them corresponds to a convergence center or reference point. The convergence deviation index measures the data points Relative to the degree of deviation from the convergence center, if the deviation index is large, it means that the difference between the data point and the convergence center is large, otherwise it means that the difference is small.

[0033] The transaction data aggregation model not only reflects the relationship between the original data items and the aggregation parameter points, but also reflects the weight distribution and deviation adjustment in the data aggregation process. Based on this, the key information in the green electricity green certificate transaction data can be more accurately aggregated, providing support for subsequent transaction analysis and security decision-making.

[0034] The green electricity green certificate transaction data subset in the original transaction data is obtained through the above-mentioned transaction data aggregation model; the aggregated green electricity green certificate transaction data set is obtained by combining the green electricity green certificate transaction data subset.

[0035] Through the above transaction data aggregation model, a series of subsets can be extracted from the original green power green certificate transaction data. The above subsets are processed and aggregated, which can be more refined and focus on the core features of the transaction data. Subsequently, the above subsets are integrated to form a comprehensive and aggregated green power green certificate transaction data set.

[0036] The above green electricity green certificate transaction data set satisfies the following relationship: in, Represents the aggregated green power green certificate transaction data set, Indicates the first Sub-collection, Indicates the first Sub-collection, Indicates the first Subcollection.

[0037] The integrated data set contains m subsets of green power green certificate transaction data that have been aggregated and processed. The relevant subsets are marked as .in, Represents the first subset of data that has been aggregated, focusing on a specific aspect or feature of the transaction data; is the second subset, which has also been aggregated and focuses on the transaction data on the other side; and so on, until It represents the mth data subset that has been aggregated.

[0038] The integrated data set From m subsets The aggregated green power green certificate transaction data set not only retains the key information of the original transaction data, but also improves the accuracy and reliability of the transaction data through aggregation processing, providing a solid foundation for subsequent transaction data analysis and decision-making. At the same time, the embodiment also draws an example diagram of the effect of transaction data before and after aggregation. For details, please refer to Figure 2 , where a represents the distribution of green electricity and green certificate trading data before aggregation, and b represents the distribution of green electricity and green certificate trading data after aggregation.

[0039] Furthermore, the method for obtaining the green electricity green certificate transaction data set in the present embodiment is only an optional condition of the present invention. In one or some other embodiments, the method for obtaining the transaction data set may be adjusted according to the actual operation of the transaction platform and the security management requirements of the transaction data. Different trading platforms have different transaction data structures, storage methods and security requirements. Adjusting the transaction data acquisition method can ensure that the data set acquisition process matches the actual situation of the platform, thereby improving the efficiency and accuracy of data processing.

[0040] S2. Construct a green electricity green certificate transaction data management mechanism, and use the green electricity green certificate transaction data management mechanism to sort and adjust the transaction data set and extract features to obtain a green electricity green certificate transaction data repository. The specific implementation steps and contents are as follows; A green electricity green certificate transaction data management mechanism is constructed based on the green electricity green certificate transaction data set. In the embodiment, the green electricity green certificate transaction data management mechanism mainly includes: a data sorting and arranging model and a data feature extraction model.

[0041] In an optional embodiment, a data arrangement method is introduced to establish a data sorting and arranging model, and the transaction data set of green electricity green certificates is sorted based on the above data sorting and arranging model to obtain an arrangement information set of green electricity green certificates transaction data.

[0042] The embodiment introduces a data arrangement method to construct a data sorting and arranging model. This model can process the transaction data set of green electricity and green certificates in an orderly manner, thereby generating an arrangement information set containing green electricity and green certificate transaction data. Based on the green electricity and green certificate transaction data set after aggregation processing, combined with the management requirements of transaction data and its unique transaction attributes, the green electricity and green certificate transaction data is systematically managed.

[0043] In order to effectively sort the data, a data sorting and arrangement model is established in the embodiment, which mainly relies on a recursive strategy to sort the green power green certificate transaction data set. In the embodiment, there are m data clusters and the following relationship is satisfied: In order to simplify the description of the above data clusters, they are given serial numbers , which is a subset of data It can be expressed as a data subset of sequence number 1.

[0044] When running the data sorting model, a specific sorting order needs to be followed: First, keep the data subset (i.e., data subset number 1) remains unchanged, and then the data subset (Data subset number 2) and data subset (Data subset No. 3) is fully arranged; then, the data subset is kept (Data subset number 2) remains unchanged, for data subset (Data subset No. 3) is fully arranged again; finally, a complete arrangement cluster information of green electricity green certificate trading data is obtained.

[0045] The above process not only ensures the orderliness of transaction data, but also lays the foundation for the subsequent in-depth analysis and efficient acquisition of characteristic information of green electricity and green certificate transaction data. By analyzing the inherent laws and potential value of transaction data through data sorting and organization models, it provides strong support for power market supervision, transaction decisions and risk management.

[0046] In an optional embodiment, the cluster cardinality of the arrangement information set is 3. A schematic diagram corresponding to the arrangement information set is drawn based on the data sorting model and the arrangement cluster information. For details, see Figure 3 , where cluster 1 can represent a subset of data (i.e., the data subset of sequence number 1), cluster 2 represents the data subset (i.e., data subset number 2), cluster 3 represents the data subset (That is, the data subset number 3).

[0047] based on Figure 3 It can be seen that by performing sorting operations on green electricity green certificate transaction data through the data sorting and organization model, the transaction data set is arranged in order according to preset rules. Based on this, the dynamic retrieval process of green electricity green certificate transaction data can be simplified, and at the same time, the system's real-time monitoring, tracking and analysis capabilities of green certificate transaction data can be enhanced.

[0048] The data sorting and arrangement model is used to systematically arrange the green power green certificate transaction data, so that the system transaction data is arranged in a predetermined order, which not only improves the readability of the green power green certificate transaction data, but also facilitates the rapid positioning and accurate retrieval of transaction data. At the same time, the arrangement information set creates favorable conditions for data security monitoring. Monitoring the sorted data can more efficiently identify potential data anomalies or security risks, so as to take timely measures to prevent and respond.

[0049] Furthermore, in this embodiment, based on the sorted green electricity green certificate trading data arrangement cluster information, the arrangement cluster information is re-sorted in combination with the time interval information, or sorted multiple times to comply with the time interval division of the green electricity green certificate trading system.

[0050] Green electricity green certificate trading data is a kind of information coupling, which is closely related to time. Based on the arrangement information set of green electricity green certificate trading data, the arrangement cluster information can be rearranged and divided based on the time series, that is, the green electricity green certificate trading data after aggregation preprocessing and sorting processing can be sorted and divided based on the time series information to obtain the green electricity green certificate arrangement cluster information corresponding to different times, that is, the arrangement information set of the green electricity green certificate trading data in the embodiment is obtained.

[0051] The above arrangement information set satisfies the following relationship: in, Represents the arrangement information set of green power green certificate transaction data, It indicates the green electricity green certificate transaction data corresponding to the first time series after sorting. It represents the green electricity green certificate transaction data corresponding to the second time series after sorting. Indicates the first Green electricity and green certificate transaction data corresponding to the time series.

[0052] Based on this, it can be known that the green electricity green certificate transaction data is sorted and divided according to the time series and model rules, that is, the arrangement cluster information is sorted and divided twice or multiple times according to the time series information to obtain the arrangement cluster information corresponding to different time intervals or time points, that is, the arrangement information set of the green electricity green certificate transaction data in the embodiment is obtained.

[0053] In an optional embodiment, feature extraction parameters of transaction data are set in a data feature extraction model; and feature extraction is performed on the arrangement information set based on the feature extraction parameters to obtain a transaction data repository for green electricity and green certificates.

[0054] Based on the above-mentioned arrangement information set, the key features of green electricity green certificate trading data are extracted. The above-mentioned features provide an information basis for the clustering analysis and security management of green electricity green certificate trading data. The feature extraction process not only enhances the accuracy of data clustering analysis and management, but also ensures that the clustering analysis results can more accurately reflect the inherent laws and trading patterns of green electricity green certificate trading data.

[0055] The feature extraction parameters of the transaction data are set based on the features of the transaction data. In the embodiment, the feature extraction parameters mainly include the degree of fluctuation, trend change and stability.

[0056] The characteristic description of the degree of volatility is mainly based on the range and dispersion coefficient. The data range is obtained by calculating the difference between the maximum and minimum values ​​of the green power green certificate trading data in different time series, thus reflecting the maximum fluctuation range of the green power green certificate trading data.

[0057] At the same time, it is necessary to calculate the dispersion coefficient of the data, average the sum of the squares of the differences between each data sample point and its average value, and then divide it by the square of the data average value. This can measure the degree of dispersion of the green electricity green certificate trading data, thereby providing relevant information about the distribution width of the green electricity green certificate trading data.

[0058] The above fluctuation degree satisfies the following relationship: in, Indicates the extreme value of green power green certificate transaction data in different time series, Indicates the maximum value of green power green certificate transaction data in different time series, Represents the minimum value of green power green certificate transaction data in different time series, Indicates the discrete coefficient corresponding to the green electricity green certificate transaction data of different time series, Represents the quantity in green power green certificate transaction data of different time series, express The data sample points in Represents the average value of green electricity and green certificate transaction data in different time series; in, Describe the green electricity green certificate transaction data set corresponding to different time series, and then obtain the maximum value in the data set , minimum ,average value and the number of data sample points , the above sample points can be used To express.

[0059] In order to quantify the changing trend of green electricity green certificate trading data, the correlation coefficient of different trading data is introduced in the embodiment, each data sample point is weighted and summed, and calculated based on the maximum and minimum values. The above correlation coefficient reflects the trend and direction of trading data changing over time.

[0060] The above trend transformation satisfies the following relationship: in, Represents the correlation coefficient of green power green certificate transaction data in different time series, Represents the quantity in green power green certificate transaction data of different time series, Represents the characterization parameters of green power green certificate transaction data, express The data sample points in Indicates the maximum value of green power green certificate transaction data in different time series, Represents the minimum value in green power green certificate transaction data of different time series; The characterization parameters are affected by many factors such as system transaction volume, transaction price, transaction type, transaction method, etc. The relevant parameters jointly reflect the operation and development trend of the green power and green certificate market. That is to say, it refers to the degree of influence of the above-mentioned related factors on the trading data of different green electricity and green certificates.

[0061] In order to evaluate the stability of green electricity green certificate trading data, the waveform entropy of the trading data is calculated in the embodiment, the logarithm of the signal waveform energy of different time series is taken, and a constant term related to the center distance is subtracted therefrom, and then the average value is taken. The lower the waveform entropy, the more stable the data and the more regular the corresponding data waveform.

[0062] The above stable situation satisfies the following relationship: in, Represents the waveform entropy of green power green certificate transaction data in different time series, Represents the quantity in green power green certificate transaction data of different time series, Represents the signal waveform energy of green power green certificate trading data in different time series, Represents the center distance of green electricity green certificate transaction data.

[0063] The center distance refers to the distance between the distribution center of the transaction data, such as the mean, median, etc., and a reference point or a specific value in the data set. First, it is necessary to determine the distribution form of the green power green certificate transaction data, such as normal distribution, skewed distribution or other forms, which will help to select appropriate central metrics such as mean and median to represent the center of the data distribution; secondly, clarify the reference point of the center distance. In the green power green certificate trading system, the above reference point can be a specific transaction volume, transaction price, transaction time or other related parameters. The relevant reference information can be adjusted and replaced according to the data information of different time intervals.

[0064] The above feature extraction parameters not only enhance the accuracy of cluster analysis and management of green power green certificate trading data, but also ensure that the cluster analysis results can more accurately capture the inherent laws and trading patterns of the data. The above parameters can better understand the dynamic changes of the green power green certificate trading market and provide strong support for the specific implementation of the security management and control methods of green power green certificate trading data.

[0065] The characteristics of green power green certificate transaction data are integrated to lay a solid foundation for the subsequent dynamic extraction of transaction data. In the embodiment, the green power green certificate transaction data is dynamically clustered and analyzed based on the transaction data characteristic information and the weighted fuzzy C-means (FCM) clustering algorithm. In this process, the characteristics of green power green certificate transaction data are the weighted basis, thereby ensuring that the clustering process can respond to different market demands and transaction attributes.

[0066] The weighted FCM clustering algorithm can comprehensively analyze the differentiated impact of feature information in the clustering process, thereby significantly improving the accuracy of data clustering results, and more accurately extracting key information of green power green certificate trading data. By integrating the feature information of green power green certificate trading data and using the weighted FCM clustering algorithm for dynamic clustering analysis, the green power green certificate trading data repository can be quickly obtained, which can more accurately capture market dynamics, meet diversified data needs, and provide technical support for the healthy development of the power market.

[0067] Furthermore, in the present embodiment, the method for acquiring the green certificate transaction data repository is only an optional condition of the present invention. In one or some other embodiments, the method for acquiring the green certificate transaction data repository can be adjusted according to the management and control requirements of green electricity green certificate transaction data and the characteristic attributes of transaction data, which can not only improve the management efficiency of transaction data, but also better protect the integrity and security of data, and provide more solid and flexible technical support for the processing and analysis of green electricity green certificate transaction data.

[0068] S3. Design a transaction data encryption module, encrypt and protect the transaction data repository based on the transaction data encryption module, and obtain the encrypted transaction data information. The specific implementation steps and contents are as follows: Data privacy protection and encryption processing are important in the field of green electricity green certificate trading technology. The green electricity green certificate trading system involves a lot of sensitive information, such as the power generation of the generating enterprise, the transaction price negotiated by the two parties to the transaction, and the legal relationship of the transaction. The leakage of the above transaction information will bring economic losses to both parties to the transaction. Therefore, in the management and processing of green electricity green certificate trading data, the application of privacy protection technology is very important.

[0069] With the continuous advancement of the construction of energy Internet, a closer interactive relationship has been formed between energy entities and the market. In this context, it has become particularly urgent to build a green electricity and green certificate transaction data security management and control system that can support extensive access by multiple market entities and realize collaborative transactions in multiple energy markets. This embodiment designs the transaction data encryption module of the embodiment based on the cloud platform and microservice technology architecture.

[0070] In order to ensure the smooth development of trading business and the reliable transmission of trading data, and to provide more solid security protection for electricity trading data, the above-mentioned trading data encryption module performs specific mathematical operations on the relevant data of the trading data repository based on the principle of Paillier homomorphic encryption algorithm. It can encrypt and protect the relevant data of the trading data repository and perform statistical analysis without exposing the original data information, thereby ensuring data security while meeting the processing requirements of the green certificate business.

[0071] A data repository encryption model is constructed in the transaction data encryption module based on the homomorphic encryption algorithm; the transaction data repository is encrypted and protected according to the data repository encryption model, and the encrypted transaction data information is obtained. Furthermore, a key generation function, a ciphertext analysis function and a decryption processing function are set in the data repository encryption model.

[0072] In the embodiment, a transaction data repository encryption model based on a homomorphic encryption algorithm is constructed. A data repository encryption model is constructed in the transaction data encryption module. The main goal of this model is to ensure the security of transaction data during storage and prevent transaction data leakage and illegal use through encryption processing.

[0073] The data repository encryption model mainly consists of three core functions: key generation function, ciphertext analysis function and decryption processing function.

[0074] The Paillier homomorphic encryption algorithm builds a security line of defense for the transmission of green certificate transaction data in the cloud environment. The above encryption algorithm not only ensures the confidentiality and integrity of data during transmission, but also lays the foundation for the secure sharing and efficient use of transaction data.

[0075] In this embodiment, the secure transmission of transaction data is the key to ensuring the stable operation and fair trading of the power market. The transaction data encryption module makes it difficult for unauthorized attackers to crack and use encrypted data, thereby ensuring the confidentiality and security of green certificate transaction data. At the same time, the encryption module also supports homomorphic operations, which means that specific mathematical operations are allowed on encrypted data, further improving the processing efficiency and security management effectiveness of green power green certificate transaction data.

[0076] First, randomly select two large prime numbers x and y, and set the composite number corresponding to the prime numbers. , the above composite numbers need to satisfy the following relationship: in, Indicates a composite number, Represents a prime number, and y represents another prime number. The above n represents a composite number constructed based on prime numbers, and x and y are two large prime numbers. The composite number n can be used as an important component of a public key or a private key. Its security lies in the fact that even with powerful computing power, it is difficult to decompose n into the original two prime factors x and y.

[0077] When using Euler's function to multiply two large prime numbers x and y to obtain the composite number n, when n is the product of two different prime numbers x and y, It is equal to the product of the above two prime numbers minus 1, that is: in, Represents the number of positive integers less than or equal to n that are relatively prime to n.

[0078] Then, the least common multiple of prime numbers is defined according to the Carmichael function, where for and The lowest common multiple of needs to satisfy the following relationship: in, Indicates the least common multiple result sought, represents a function that performs the least common multiple calculation, represents a prime number, and y represents another prime number.

[0079] The Carmichael function plays an important role in cryptographic applications. Its value is used as a key parameter in the encryption algorithm to ensure the security of the algorithm. By reasonably selecting the values ​​of prime numbers x and y, a sufficiently large least common multiple can be obtained, thereby ensuring that the encryption algorithm can still maintain sufficient strength and protection performance in the face of various attacks.

[0080] In an alternative embodiment, if a certain integer a is called modulus of order residue class, then there exists a set of integers such that the integer a satisfies the following relation: in, represents a specific integer, Z represents the set of all integers, n represents a composite number, Represents the modulo operation.

[0081] The key generation function in the embodiment is used to generate encryption and decryption keys and satisfies the following relationship: in, The table generates the output of the metafunction, represents the generator used to generate the cyclic group, Indicates the key length, represents a specific integer, Indicates the least common multiple result sought, represents the modulo operation, Indicates a composite number; In an optional embodiment, two sufficiently large prime numbers x and y are first randomly selected, and the two prime numbers will be used to generate a part of the public key and private key of the encryption algorithm. Then, the product n of the two prime numbers is calculated, and the composite number n plays a role in the subsequent encryption and decryption process.

[0082] Then, select a specific integer And certain conditions need to be met, namely , which means that there exists a set of integers Z such that a can be expressed as .

[0083] Next, calculate the value of the least common multiple result, .

[0084] Finally, a key generation function is used to ensure that the generated key can safely and efficiently generate a public key, which contains and Two elements, represents the generator used to generate the cyclic group, while the private key contains the factors , that is, the public key is , the private key is .

[0085] Public Key In this case, n is obtained by multiplying two large prime numbers, and is the generator used to generate cyclic groups.

[0086] Private Key With public key The private key portion of an associated secret integer, such as a discrete logarithm, allows the holder to perform certain operations, such as decrypting a message or generating a signature.

[0087] Next, we arbitrarily choose a random number δ and , where Z represents the set of all integers, Represents a composite number, encrypts the transaction data, and then obtains the encrypted transaction data information. The above ciphertext analysis function encrypts the green certificate transaction data information into ciphertext, which satisfies the following relationship: in, Indicates the ciphertext result output by the encryption operation model. represents a specific integer, Indicates a composite number, Represents the random number selected, Indicates the information that needs to be encrypted. Represents modulo operation; The ciphertext result E is inversely operated by the decryption processing model to obtain the original plaintext corresponding to the transaction data. Represents the plaintext obtained after decryption. First, the data repository encryption model receives the encrypted ciphertext E and calculates an intermediate value based on the private key parameter. The intermediate value has a certain specific mathematical relationship with the plaintext.

[0088] The least common multiple value converts the intermediate value into an equivalent form of plain text, which can be achieved through modular operations and multiplication inverse elements. Finally, through decryption processing function operations and integer adjustments, the plain text information corresponding to the transaction data is obtained from the equivalent form. .

[0089] The above decryption processing function restores the ciphertext to plaintext information, which satisfies the following relationship: in, Indicates the plaintext information output by the decryption processing model. Indicates the key length, Indicates the ciphertext result output by the encryption operation model. Indicates the least common multiple result sought, represents the modulo operation, Indicates a composite number, Represents a specific integer.

[0090] The transaction data repository is encrypted and protected based on the above data repository encryption model: Generate a key using a key generation function.

[0091] Use the ciphertext analysis function to encrypt the transaction data into ciphertext.

[0092] The encrypted transaction data is stored in the corresponding transaction information of the data repository.

[0093] When the transaction data needs to be read, the decryption processing function is used to restore the ciphertext to plaintext information.

[0094] Based on the above-mentioned transaction data encryption module, the encrypted transaction data information can be obtained, thereby ensuring the security of green certificate transaction data during the storage process and effectively preventing the risk of data leakage.

[0095] Furthermore, in the present embodiment, the encryption protection method for transaction data is only an optional condition of the present invention. In one or some other embodiments, the encryption protection method for transaction data may be optimized according to the actual situation and the security management and control requirements of transaction data. Different transaction scenarios and data types have different security requirements. By optimizing the encryption protection method, it can be adapted to differentiated needs, thereby improving the processing speed and response capability of the system.

[0096] S4. Based on the transaction data repository and transaction data information, the green power green certificate transaction data is effectively managed and safely transmitted. The specific implementation steps and contents are as follows: First, the system obtains the original, unprocessed transaction data from the green electricity green certificate transaction. The above original data is the direct record information of the green electricity green certificate transaction, which contains various key information of the green certificate transaction. In order to make more effective use of the above data, a transaction data aggregation model is constructed in the embodiment, which can perform systematic aggregation processing on the original transaction data. Through this step, the transaction data set of green electricity green certificate is extracted from the massive green electricity green certificate transaction data, which provides an information basis for the effective management and scientific monitoring of the subsequent green certificate transaction data.

[0097] Next, in order to further improve the availability and management efficiency of green electricity and green certificate trading data, a green electricity and green certificate trading data management mechanism was constructed. The above mechanism covers two core functions: data sorting and adjustment and feature extraction. The sorting and adjustment model ensures the orderliness and readability of trading data, and the feature extraction model mines more valuable information and operating modes from the green certificate trading data. Through the above trading data management mechanism, the trading data set is transformed into a more structured and easy-to-manage green electricity and green certificate trading data repository.

[0098] At the same time, attention should be paid to the security of the green power green certificate transaction data of the system. Therefore, a transaction data encryption module is designed in the embodiment. The module adopts advanced encryption algorithms and technologies to encrypt and protect the transaction data repository. The relevant encryption protection steps ensure the security and integrity of the transaction data during storage and transmission, effectively reducing the risk of leakage or illegal access to green power green certificate transaction data.

[0099] Finally, based on the transaction data repository and encrypted transaction data information, the effective management and secure transmission of green electricity green certificate transaction data were achieved, including real-time monitoring, backup and recovery, access control, and encryption protection during transmission of green electricity green certificate transaction data. The above measures ensured the reliability, availability and security of green electricity green certificate transaction data, providing strong support for the smooth progress of green electricity green certificate transactions.

[0100] To sum up, the security control method of green electricity green certificate trading data further realizes the effective management and secure transmission of green electricity green certificate trading data through a series of measures such as building a trading data aggregation model, designing a trading data management mechanism, and a trading data encryption module. Based on this, it not only improves the use value and application efficiency of green electricity green certificate trading data, but also ensures the security and integrity of trading data, laying a solid foundation for the healthy development of green electricity green certificate trading.

[0101] See also Figure 4 In an optional embodiment, in order to be able to efficiently execute the security control method for green electricity green certificate trading data provided by the present invention, the present invention also provides a security control system for green electricity green certificate trading data, the system comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, the processor is configured to call the program instructions, and execute the specific steps of the relevant embodiments of the security control method for green electricity green certificate trading data provided by the present invention. The security control system for green electricity green certificate trading data of the present invention has a complete structure, is objective and stable, and can efficiently execute the security control method for green electricity green certificate trading data of the present invention, thereby improving the overall applicability and practical application capabilities of the present invention.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A method for the security control of green power green certificate transaction data, characterized in that: The steps include: Obtaining the original transaction data of green electricity green certificates through the green electricity green certificate trading system, establishing a transaction data aggregation model to aggregate the original transaction data, and obtaining a transaction data set of green electricity green certificates; Constructing a green electricity green certificate transaction data management mechanism, and using the green electricity green certificate transaction data management mechanism to sort and adjust the transaction data set and extract features to obtain a transaction data repository for green electricity green certificates; Designing a transaction data encryption module, encrypting and protecting the transaction data repository according to the transaction data encryption module, and obtaining encrypted transaction data information; Based on the transaction data repository and the transaction data information, effective management and secure transmission of green electricity and green certificate transaction data are achieved.

2. The method for secure management and control of green electricity and green certificate transaction data according to claim 1 is characterized in that: The establishing of a transaction data aggregation model to aggregate the original transaction data comprises: Establishing a transaction data aggregation model based on the green electricity green certificate trading system; The transaction data aggregation model satisfies the following relationship: in, Represents a subset of green power green certificate transaction data after aggregation processing, Represents the weight coefficient corresponding to the transaction data aggregation model, Represents a subset of the original green electricity green certificate transaction data, represents different parameter points where data converges, express The convergence deviation index.

3. The method for secure management and control of green electricity and green certificate transaction data according to claim 2 is characterized in that: The step of establishing a transaction data aggregation model to aggregate the original transaction data and obtain a transaction data set of green electricity green certificates includes: Obtaining a subset of green electricity and green certificate transaction data in the original transaction data through the transaction data aggregation model; Combining the green electricity green certificate transaction data subset to obtain a green electricity green certificate transaction data set; The transaction data set satisfies the following relationship: in, Represents the aggregated green power green certificate transaction data set, Indicates the first Sub-collection, Indicates the first Sub-collection, Indicates the first Subcollection.

4. The method for secure management and control of green electricity green certificate transaction data according to claim 1 is characterized in that: The construction of green electricity green certificate transaction data management mechanism includes: A green electricity green certificate transaction data management mechanism is constructed based on the green electricity green certificate transaction data set, and the green electricity green certificate transaction data management mechanism includes: a data sorting and arranging model and a data feature extraction model.

5. The method for secure management and control of green electricity and green certificate transaction data according to claim 4 is characterized in that: The step of using the green electricity green certificate transaction data management mechanism to sort and adjust the transaction data set and extract features to obtain a transaction data repository for green electricity green certificates includes: A data arrangement method is introduced to establish a data arrangement model, and the data arrangement model is used to perform data arrangement processing on the transaction data set to obtain an arrangement information set of green electricity green certificate transaction data; The arrangement information set satisfies the following relationship: in, Represents the arrangement information set of green power green certificate transaction data, It indicates the green electricity green certificate transaction data corresponding to the first time series after sorting. It represents the green electricity green certificate transaction data corresponding to the second time series after sorting. Indicates the first Green electricity and green certificate transaction data corresponding to the time series.

6. The method for secure management and control of green electricity and green certificate transaction data according to claim 5 is characterized in that: The step of using the green electricity green certificate transaction data management mechanism to sort and adjust the arrangement information set and extract features to obtain a transaction data repository for green electricity green certificates includes: Setting feature extraction parameters of transaction data in the data feature extraction model; Feature extraction is performed on the arrangement information set according to the feature extraction parameters to obtain a transaction data repository for green electricity and green certificates.

7. The method for secure management and control of green electricity and green certificate transaction data according to claim 6 is characterized in that: The feature extraction parameters of transaction data are set in the data feature extraction model, including: Setting feature extraction parameters of transaction data based on transaction data characteristics, wherein the feature extraction parameters include fluctuation degree, trend change and stability; The degree of fluctuation satisfies the following relationship: in, Indicates the extreme value of green power green certificate transaction data in different time series, Indicates the maximum value of green power green certificate transaction data in different time series, Represents the minimum value of green power green certificate transaction data in different time series, Indicates the discrete coefficient corresponding to the green electricity green certificate transaction data of different time series, Represents the quantity in green power green certificate transaction data of different time series, express The data sample points in Represents the average value of green electricity and green certificate transaction data in different time series; The trend transformation satisfies the following relationship: in, Represents the correlation coefficient of green power green certificate transaction data in different time series, Represents the quantity in green power green certificate transaction data of different time series, Represents the characterization parameters of green power green certificate transaction data, express The data sample points in Indicates the maximum value of green power green certificate transaction data in different time series, Represents the minimum value in green power green certificate transaction data of different time series; The stability condition satisfies the following relationship: in, Represents the waveform entropy of green power green certificate transaction data in different time series, Represents the quantity in green power green certificate transaction data of different time series, Represents the signal waveform energy of green power green certificate trading data in different time series, Represents the center distance of green electricity green certificate transaction data.

8. The method for secure management and control of green electricity and green certificate transaction data according to claim 1 is characterized in that: The design of the transaction data encryption module, encrypting and protecting the transaction data repository according to the transaction data encryption module, and obtaining the encrypted transaction data information includes: Building a data repository encryption model in the transaction data encryption module based on a homomorphic encryption algorithm; The transaction data repository is encrypted and protected according to the data repository encryption model, and encrypted transaction data information is obtained.

9. The method for secure management and control of green electricity and green certificate transaction data according to claim 8 is characterized in that: The constructing of a data repository encryption model in the transaction data encryption module based on a homomorphic encryption algorithm comprises: Setting a key generation function, a ciphertext analysis function and a decryption processing function in the data repository encryption model; The key generation function satisfies the following relationship: in, The table generates the output of the metafunction, represents the generator used to generate the cyclic group, Indicates the key length, represents a specific integer, Indicates the least common multiple result sought, represents the modulo operation, Indicates a composite number; The ciphertext analysis function satisfies the following relationship: in, Indicates the ciphertext result output by the encryption operation model. represents a specific integer, Indicates a composite number, Represents the random number selected, Indicates the information that needs to be encrypted. Represents modulo operation; The decryption processing function satisfies the following relationship: in, Indicates the plaintext information output by the decryption processing model. Indicates the key length, Indicates the ciphertext result output by the encryption operation model. Indicates the least common multiple result sought, represents the modulo operation, Indicates a composite number, Represents a specific integer.

10. A security management and control system for green electricity and green certificate transaction data, characterized in that: The system includes a processor, an input device, an output device and a memory, which are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the green electricity green certificate transaction data security management method as described in any one of claims 1-9.

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