Application monitoring platform and its monitoring methods based on consortium blockchain

Abstract

This invention relates to an application supervision platform and method based on consortium blockchain. The platform includes: an information storage system for storing sandbox testing information of financial innovation applications on-chain within the consortium blockchain; a risk monitoring system for monitoring the application's operational status and outputting monitoring results based on the sandbox testing information stored on-chain from the information storage system; and an evaluation system for evaluating the application based on the monitoring results from the risk monitoring system and pre-defined rules. According to this invention, systematic and comprehensive application supervision can be achieved while protecting the security of sensitive data.

Description

Technical Field

[0001] This invention relates to computer technology, and more specifically to an application supervision platform and method based on consortium blockchain. Background Technology

[0002] The Chinese patent "A Customer Privacy Data Management Method Based on Financial Blockchain" (application number: CN201810744569.7) proposes a customer privacy data management method based on financial blockchain, which can realize the classification and management of customer privacy data in different dimensions. At the same time, combined with the data traceability feature of blockchain, it enables customers and regulatory authorities to quickly query and monitor customer privacy data.

[0003] However, existing solutions either focus only on individual technical aspects and lack systematic and comprehensive research on regulatory technology platforms, or their application is limited to front-end businesses such as customers, services, and online channels, with a lack of application in middle and back-end areas such as risk management, compliance auditing, and internal control. Summary of the Invention

[0004] In view of the above problems, the present invention aims to provide an application supervision platform and a method based on consortium blockchain that can achieve systematic and comprehensive application supervision while protecting the security of sensitive data.

[0005] An application monitoring platform based on consortium blockchain, as described in one aspect of the present invention, is characterized by comprising:

[0006] The information storage system is used to store information related to the sandbox testing of financial innovation applications on the consortium blockchain.

[0007] A risk monitoring system is used to monitor the operational status of an application and output monitoring results based on sandbox testing information related to the application stored on the blockchain from the information storage system; and

[0008] The results evaluation system is used to evaluate the application based on the monitoring results from the risk monitoring system and pre-defined rules.

[0009] Optionally, the information storage system uses a chain structure combined with timestamps and asymmetric encryption to store test-related information of the application on the chain.

[0010] Optionally, the risk monitoring system monitors the security of technology use and business continuity.

[0011] Optionally, the risk monitoring system employs zero-knowledge proof technology to monitor test-related information of the application.

[0012] Optionally, the risk monitoring system includes:

[0013] The risk control and early warning system is used to implement risk control and early warning for applications during sandbox testing based on smart contracts.

[0014] Optionally, the risk control and early warning system includes:

[0015] A sandbox execution container is used to store smart contracts and perform risk control and early warning based on smart contracts;

[0016] A blockchain generator is used to generate a blockchain from test-related information from the application in the sandbox execution container; and

[0017] The database stores the blockchain generated by the blockchain generator in multiple blocks using a consensus algorithm.

[0018] Optionally, in the sandbox execution container, risk control early warning based on smart contracts is executed in the following manner:

[0019] The pre-defined rules and protocols are compiled into smart contracts and deployed on the consortium blockchain;

[0020] Regularly or in real-time, upload information related to the sandbox testing of financial innovation applications to the consortium blockchain, and synchronize the testing information of the application to other nodes on the consortium blockchain; and

[0021] The smart contract automatically performs checks. If the smart contract is triggered, it will be monitored. Once an anomaly is detected, suspicious transactions will be located and an alert will be issued.

[0022] Optionally, the risk monitoring system further includes:

[0023] The public opinion monitoring system is used to monitor the operational status of applications and obtain public opinion information using public opinion big data technology.

[0024] Optionally, the public opinion monitoring system includes:

[0025] The multi-source heterogeneous data joint modeling module is used to acquire multi-source heterogeneous data from the Internet, integrate the joint modeling strategy of data content and network result relationship, and construct a data model by associating content semantics with network structure.

[0026] The knowledge graph construction module is used to mine the relationships between applications and build a knowledge graph.

[0027] The public opinion analysis module is used to analyze information based on text content understanding and obtain public opinion information; and

[0028] The evolution analysis module is used to detect the application evolution stage, cluster the application evolution stage, and output the clustering results.

[0029] Optionally, the public opinion analysis module includes:

[0030] The media focus analysis submodule, based on phrase independence and semantic completeness, extracts independent phrases, clusters phrase variants by compressing the similarity search space, and obtains media intersection analysis results; and

[0031] The internet user sentiment analysis submodule identifies positive and negative sentiment indicators based on the Z-Score metric and adds them to the sentiment lexicon. Based on application-related internet user information and the sentiment lexicon, it obtains the internet user sentiment analysis results.

[0032] Optionally, the evolutionary analysis module includes:

[0033] The evolution detection submodule integrates event information to construct a corresponding dataset for training a stage classifier; and

[0034] The evolutionary clustering submodule groups the development and evolution processes of different events by different cluster centers. For each group of event sequences, it automatically clusters the event evolution stages by merging adjacent stages.

[0035] Optionally, the public opinion monitoring system further includes:

[0036] The visualization module is used to visually display the public opinion information output by the public opinion analysis module and the clustering results output by the evolution analysis module.

[0037] An application supervision method based on consortium blockchain, as described in one aspect of the present invention, is characterized by comprising:

[0038] The information storage step involves storing information related to the sandbox testing of financial innovation applications on the consortium blockchain.

[0039] The risk monitoring step involves monitoring the application's operational status and outputting monitoring results based on sandbox testing information related to the on-chain notarized application from the information notarization step; and

[0040] The results evaluation step evaluates the application based on pre-defined rules, according to the monitoring results from the risk monitoring step.

[0041] Optionally, in the information storage step, a chain structure combined with timestamps and asymmetric encryption is used to store the test-related information of the application on the chain.

[0042] Optionally, in the risk monitoring step, risk monitoring is performed on the security of technology use and business continuity.

[0043] Optionally, in the risk monitoring step, zero-knowledge proof technology is used to monitor test-related information of the application.

[0044] Optionally, the risk monitoring steps include:

[0045] Risk control and early warning steps are implemented based on smart contracts to achieve risk control and early warning during the application's sandbox testing and operation.

[0046] Optionally, the risk monitoring step further includes:

[0047] The public opinion monitoring process involves monitoring the operational status of the application and using big data technology to obtain public opinion information.

[0048] Optionally, the public opinion monitoring steps include:

[0049] The steps of multi-source heterogeneous data joint modeling are as follows: acquire multi-source heterogeneous data from the Internet, integrate the joint modeling strategy of data content and network result relationship, and construct a data model by associating content semantics with network structure;

[0050] The steps for building a knowledge graph are: mining the relationships between applications to construct the knowledge graph;

[0051] The steps of public opinion analysis include: analyzing information based on text content understanding to obtain public opinion information; and...

[0052] The evolutionary analysis steps enable the detection of application evolution stages and the clustering of application evolution stages, and output clustering results information.

[0053] Optionally, the public opinion analysis steps include:

[0054] The media focus analysis sub-step, based on phrase independence and semantic completeness, extracts independent phrases, clusters phrase variants by compressing the similarity search space, and obtains the media intersection analysis results; and

[0055] The sub-step of netizen sentiment analysis involves identifying positive and negative sentiment indicators based on Z-Score and adding them to the sentiment lexicon. Based on relevant netizen information and the sentiment lexicon, the netizen sentiment analysis results are obtained.

[0056] Optionally, the evolutionary analysis step includes:

[0057] The evolution detection sub-step integrates event information and constructs a corresponding dataset to train a stage classifier; and

[0058] The evolutionary clustering sub-step groups the development and evolution processes of different events through different cluster centers. For each group of event sequences, the automatic clustering process of event evolution stages is achieved by merging adjacent stages.

[0059] Optionally, the public opinion monitoring step further includes:

[0060] The visualization step visually displays the public opinion information output by the public opinion analysis step and the clustering results output by the evolutionary analysis step.

[0061] A computer-readable medium of one aspect of the present invention, having a computer program stored thereon, is characterized in that,

[0062] When the computer program is executed by the processor, it implements the aforementioned application supervision method based on consortium blockchain.

[0063] A computer device according to one aspect of the present invention includes a storage module, a processor, and a computer program stored on the storage module and executable on the processor, characterized in that the processor implements the application supervision method based on consortium blockchain when executing the computer program. Attached Figure Description

[0064] Figure 1 This is a diagram illustrating the overall framework of the application monitoring platform based on consortium blockchain of the present invention.

[0065] Figure 2 This is a schematic diagram illustrating the principle of the "dual key pair certificate" of the present invention.

[0066] Figure 3 This is a schematic diagram illustrating the principle of the zero-knowledge proof technology of the present invention.

[0067] Figure 4 This is a schematic diagram showing the structure of a risk control and early warning system.

[0068] Figure 5 This refers to a specific implementation method for risk control and early warning based on smart contracts within a sandbox execution container.

[0069] Figure 6 This is a schematic diagram of the structure of a public opinion monitoring system.

[0070] Figure 7 This is a flowchart illustrating the application supervision method based on consortium blockchain of the present invention. Detailed Implementation

[0071] The following are some embodiments of the present invention, intended to provide a basic understanding of the invention. They are not intended to identify key or decisive elements of the invention or to limit the scope of protection sought.

[0072] For purposes of brevity and illustrativeness, the principles of the invention are described herein primarily with reference to exemplary embodiments thereof. However, those skilled in the art will readily recognize that the same principles are equivalently applicable to all types of consortium blockchain-based application oversight platforms and methods, and that these same principles can be implemented therein, and that any such variations do not depart from the true spirit and scope of this patent application.

[0073] Furthermore, reference is made in the following description to the accompanying drawings, which illustrate specific exemplary embodiments. Electrical, mechanical, logical, and structural modifications may be made to these embodiments without departing from the spirit and scope of the invention. Moreover, while features of the invention are disclosed in conjunction with only one of several embodiments, this feature may be combined with one or more other features of other embodiments if desired and / or advantageous for any given or identifiable function. Therefore, the following description should not be considered limiting in any sense, and the scope of the invention is defined by the appended claims and their equivalents.

[0074] Terms such as “possessing” and “comprising” indicate that, in addition to having units (modules) and steps that are directly and explicitly stated in the specification and claims, the technical solution of the present invention does not exclude the presence of other units (modules) and steps that are not directly or explicitly stated.

[0075] Before describing the application supervision platform based on consortium blockchain of the present invention, some technical terms that will appear in the present invention will be explained.

[0076] (1) Consortium blockchains

[0077] Consortium blockchains, also known as community blockchains or simply "consortium chains," are blockchains where the consensus process is controlled by pre-selected nodes. Consortium blockchain technology means that the consensus process can be controlled by pre-selected nodes; for example, consider a consortium of 15 financial companies, where each company has a node running, and each blockchain requires the joint confirmation of 10 companies to take effect. Blockchains may allow data access to everyone, have restricted participants, or adopt a hybrid approach, such as having an open root hash and API (Application Programming Interface), where the API allows external parties to limit the number of times it can be accessed and queried, and to obtain state information from the blockchain. These can be called "partially decentralized" blockchains, or consortium blockchains.

[0078] (2) Public opinion

[0079] Public opinion refers to the socio-political attitudes that the public holds towards social managers within a specific social space, surrounding the occurrence, development, and changes of mediated social events. It is the sum of the beliefs, attitudes, opinions, and emotions expressed by the public regarding various phenomena and issues in society.

[0080] (3) Zero-knowledge proof

[0081] A zero-knowledge proof is a method by which a prover convinces a verifier that a statement is true without revealing any useful information to the verifier. Essentially, a zero-knowledge proof is a protocol involving two or more parties, outlining a series of steps required for them to complete a task. The prover demonstrates to the verifier that they know or possess certain information, but the proof process cannot disclose any information about the proven information to the verifier.

[0082] (4) Smart Contracts

[0083] A smart contract is a computer protocol designed to transmit, verify, or execute contracts in an informational manner. Smart contracts allow for trusted transactions without the need for a third party; these transactions are traceable and irreversible. The purpose of smart contracts is to provide a security approach superior to traditional contracts and to reduce other transaction costs associated with contracts.

[0084] (5) Sandbox

[0085] A sandbox is a virtual system program that allows you to run browsers or other programs in a sandbox environment, so that changes made during the run can be subsequently deleted. It creates a sandbox-like isolated operating environment where programs running within it do not have a permanent impact on the hard drive. In network security, a sandbox refers to a tool used in an isolated environment to test the behavior of untrusted files or applications.

[0086] (6) Regulatory Sandbox

[0087] A regulatory sandbox refers to a system where financial regulators, within the scope of their legal authorization, allow financial institutions and fintech companies to conduct business tests in real or virtual market environments under limited licenses, based on the level of business risk and its impact, and following appropriately simplified entry standards and procedures. Once the tests are passed, the relevant qualifications and licenses are obtained in accordance with current laws and regulations, and the companies are then brought under normal regulatory oversight.

[0088] (7) Z-Score

[0089] Z-Score standardization is a common method in data processing. It transforms data of different magnitudes into Z-Score scores for comparison. Z-Score uses (x-μ) / σ to convert two or more sets of data into unitless Z-Score scores, thus standardizing the data, improving data comparability, but reducing data interpretability.

[0090] The following describes the application monitoring platform based on consortium blockchain and the application monitoring system based on consortium blockchain of the present invention.

[0091] Figure 1 This is a diagram illustrating the overall framework of the application monitoring platform based on consortium blockchain of the present invention.

[0092] The application supervision platform based on consortium blockchain of the present invention can be applied, for example, to the supervision of financial applications. The application supervision platform based on consortium blockchain of the present invention is implemented using a consortium blockchain as its underlying layer.

[0093] like Figure 1 As shown, the application monitoring platform based on consortium blockchain of the present invention includes:

[0094] Information storage system 100 stores relevant information for sandbox testing of financial innovation applications on a consortium blockchain.

[0095] The risk monitoring system 200, referencing test-related information from the on-chain notarized application in the information notarization system, monitors the application's operational status and outputs monitoring results; and

[0096] The outcome evaluation system 300 evaluates the application based on pre-defined rules, according to the monitoring results from the risk monitoring system.

[0097] Since the entire lifecycle of an application contains a large amount of information requiring evidence storage, including the "Application Declaration" and "Service Agreement" before the start of regulatory sandbox testing, as well as test data and performance indicators during the testing process, and test reports, feedback, and complaints after the testing is completed, the information storage system 100 of this invention employs a "chain structure + timestamp + asymmetric encryption + digital signature" technology to achieve trusted on-chain evidence storage and efficient traceability throughout the entire application lifecycle. Specifically, in the information storage system 100, test-related information of the application is encrypted using hash values ​​asymmetrically and a timestamp is added. Simultaneously, a digital signature is used to maintain the processed information on the chain, thus achieving trusted evidence storage and efficient traceability.

[0098] The risk monitoring system 200 monitors risks in two aspects: technology usage security and business continuity. Technology usage security includes multi-dimensional risk monitoring to achieve information protection and transaction security, while business continuity includes operational status, internal control management, and risk warnings.

[0099] The performance evaluation system 300 evaluates the application based on pre-defined rules and the monitoring results from the risk monitoring system 200. For example, it formulates business rules, technical standards, and regulatory requirements based on on-chain data, and evaluates the monitoring results output by the risk monitoring system 200 based on these business rules, technical standards, and regulatory requirements.

[0100] In the application supervision platform based on consortium blockchain of the present invention, for network security, a P2P network (i.e., peer-to-peer networking) is adopted, and a distributed and trustworthy consensus network is built based on the PKI public key system; for data security, on the basis of the traditional chain storage structure, a combination of asymmetric and symmetric encryption algorithms, as well as parallel chains, master-slave chains and other methods will be used to ensure the security and privacy of user data; for asset security, single signature or multi-signature mechanism based on the national cryptographic SM algorithm, scalable key technology, secret sharing algorithm and other technologies are used to ensure the security of user assets.

[0101] On the other hand, the "dual key pair certificate" scheme adopted in the application supervision platform based on consortium blockchain of the present invention not only prevents the risk of data loss leading to data irrecoverability, but also facilitates supervision by regulatory authorities. Figure 2 This is a schematic diagram illustrating the principle of the "dual key pair certificate" of the present invention. Figure 2 As shown, in order to ensure that important data is only visible to authorized parties, this invention also uses a combination of "symmetric encryption and public key encryption", so that only authorized users can decrypt the protected data with their own private key.

[0102] Specifically, in the data encryption process, a random symmetric key is first generated. This random symmetric key is then used to encrypt the transaction data, yielding symmetric key ciphertext. For user A, who is authorized to access the transaction data, the symmetric key ciphertext is further encrypted using user A's public key. Similarly, for user B, who is authorized to access the transaction data, the symmetric key ciphertext is further encrypted using user B's public key. In the data decryption process, two keys are required. For example, for user A, the symmetric key ciphertext is first decrypted using user A's private key, and then the random symmetric key is used to decrypt it again to obtain the transaction data. Likewise, for user B, the symmetric key ciphertext is first decrypted using user B's private key, and then the random symmetric key is used to decrypt it again to obtain the transaction data.

[0103] Furthermore, to protect data privacy, the application monitoring platform based on consortium blockchain in this invention utilizes zero-knowledge proof technology (a difficult-to-decrypt but easy-to-verify encryption algorithm). This allows verification of whether the transaction records provided by the auditee are consistent with the data recorded on the blockchain without decrypting the transaction data or obtaining the plaintext of the specific content. The aim is to both meet regulatory audit requirements and ensure the confidentiality of the auditee's data, achieving controlled anonymity. Figure 3 This is a schematic diagram illustrating the principle of the zero-knowledge proof technology of this invention. For example... Figure 3 As shown, in the case of a transaction between Party A and Party B, the transaction data is encrypted and uploaded to the blockchain. Party A will provide the transaction records to the regulator, who will verify whether the transaction records are consistent with the uploaded transaction data. This can be employed in the risk monitoring system 200 of this invention. Figure 3 The zero-knowledge proof technique shown monitors test-related information for the application.

[0104] As an example, the risk monitoring system 200 of the present invention may include (not shown):

[0105] Risk control and early warning system 210 is used for risk control and early warning during the sandbox testing and operation of applications based on smart contracts;

[0106] The public opinion monitoring system 220 is used to monitor the operational status of applications and obtain public opinion information using public opinion big data technology.

[0107] The risk control and early warning system 210 will be explained below.

[0108] Next, refer to Figure 4 The risk control and early warning system will be explained.

[0109] Figure 4 This is a schematic diagram showing the structure of a risk control and early warning system.

[0110] The risk control and early warning system 210 of the present invention includes:

[0111] Sandbox execution container 211 is used to store smart contracts and perform risk control and early warning based on smart contracts;

[0112] Blockchain generator 212 generates a blockchain based on relevant data in the sandbox execution container; and

[0113] Database 213 stores the blockchain generated by the blockchain generator in multiple blocks using a consensus algorithm.

[0114] like Figure 4As shown, a smart contract is a computer program that runs on a distributed ledger, has pre-defined rules, and possesses state and conditional responses. It can encapsulate, verify, and execute complex behaviors of distributed nodes to complete information exchange, value transfer, and asset management. As program code deployed on the blockchain, once a clause in a smart contract is triggered, the code can be automatically enforced, possessing characteristics such as transparency, trustworthiness, automatic execution, mandatory fulfillment, programmability, and tamper resistance. Thus, in the risk control and early warning system 210 of this invention, the aforementioned technical characteristics of smart contracts are utilized to achieve risk control, early warning, and audit support during the sandbox testing process.

[0115] Figure 5 This refers to a specific implementation method for risk control and early warning based on smart contracts in the sandbox execution container 211.

[0116] like Figure 5 As shown, risk control and early warning based on smart contracts are executed in the sandbox execution container 211 in the following manner: the pre-set relevant rules and protocols are compiled into smart contracts and deployed on the consortium blockchain; application test-related information is uploaded to the consortium blockchain periodically or in real time, and the application test-related information is synchronized to other nodes on the consortium blockchain; and the smart contract automatically performs verification. If the smart contract is triggered, it is monitored, and once an anomaly is found, suspicious transactions are located and early warning information is issued.

[0117] Specifically, a regulatory consortium blockchain is constructed, with regulatory authorities, innovative application development companies, self-regulatory organizations, notary offices, and auditing firms joining the network as nodes. Regulatory rules and compliance requirements are then compiled into smart contracts and deployed within the distributed consortium blockchain network, gaining full network approval. In practical application, regulated institutions, as required by regulatory authorities, periodically or in real-time upload innovative application testing and operational data to the consortium blockchain. Once the nodes of the regulatory authorities and auditing firms synchronize this data, the smart contract is triggered, automatically monitoring for online fraud and other threats. Upon detecting anomalies, suspicious transactions are immediately located, and warning information is reported to the regulatory authorities.

[0118] Next, the public opinion monitoring system 220 will be explained.

[0119] Figure 6 This is a schematic diagram of the structure of a public opinion monitoring system.

[0120] like Figure 6 As shown, the public opinion monitoring system 220 includes:

[0121] Multi-source heterogeneous data joint modeling module 221 is used to acquire multi-source heterogeneous data from the Internet (open source information from the Internet, such as news, blogs, forums, microblogs, etc.), integrate the joint modeling strategy of data content and network result relationship, and construct data models by associating content semantics with network structure, such as unified modeling of massive data based on cognitive computing and unified modeling of network structure based on diffusion activation.

[0122] The knowledge graph construction module 222 is used to mine the relationships between applications and construct knowledge graphs, including implicit relationship mining based on attention embedding mechanism and construction of knowledge graphs oriented towards application topic evolution;

[0123] The public opinion analysis module 223 is used to perform information analysis based on text content understanding and obtain public opinion information;

[0124] The evolution analysis module 224 is used to detect the application evolution stage and cluster the application evolution stage and output the clustering result information.

[0125] The visualization module 225 is used to visualize the public opinion information output by the public opinion analysis module and the clustering results output by the evolution analysis module.

[0126] In the multi-source heterogeneous data joint modeling module 221, in order to uniformly model massive application data, this invention simulates the human brain's memory activation mechanism and integrates a joint modeling strategy that combines data content and network structure relationships, associating content semantics with network structure. Subsequently, a novel data modeling and knowledge representation framework based on cognitive computing is constructed, and on this basis, a new model for storing, querying, calculating, and inferring application topic data is built.

[0127] Furthermore, considering the cross-platform, cross-channel, and unstructured characteristics of network structures in financial application scenarios, this study investigates a novel network representation learning method based on the "Adaptive Control of Thought" (ACT) diffusion activation theory. This method achieves unbiased input to the entire network and diffusion-based node vector updates during node updates through a diffusion activation mode, thus solving the input bias problem caused by local inputs in traditional methods. High-quality network node vector representations are obtained through a small number of iterations.

[0128] Furthermore, the public opinion analysis module 222 includes:

[0129] The media focus analysis submodule 226 utilizes a hot topic detection technology based on cultural genes. Based on phrase independence and semantic completeness, it extracts independent phrases and clusters phrase variants by compressing the similarity search space to obtain media intersection analysis results; and

[0130] The netizen sentiment analysis submodule 227, considering the domain relevance of sentiment analysis, identifies positive and negative sentiment indicators based on the Z-Score metric and adds them to the sentiment lexicon. Based on application-related netizen information and the sentiment lexicon, the netizen sentiment analysis results are obtained.

[0131] In addition, to ensure the robustness of the classifier on massive amounts of data, the public opinion monitoring system 220 also introduces a self-learning mechanism to expand the training set.

[0132] Furthermore, the evolutionary analysis module 224 includes:

[0133] The evolution detection submodule 228, combining the differences in the role of dynamic factors in the development and evolution of public opinion events, integrates the amount of event information, information forwarding links, number of participants, and social networks to construct a corresponding dataset for training a stage classifier; and

[0134] The evolutionary clustering submodule 229 combines an efficient clustering strategy to group the development and evolution processes of different events through different cluster centers. For each group of event sequences, it realizes the automatic clustering process of event evolution stages by merging adjacent stages.

[0135] The visualization module 225 performs multimodal and interactive visualization analysis of application data. Specifically, it integrates dynamic network evolution visualization analysis technology based on pixel matrix array and compares large-scale hierarchical data based on the BarcodeTree visualization method.

[0136] The following describes an embodiment of the application monitoring platform based on consortium blockchain that applies the present invention.

[0137] Using China UnionPay's "Mobile POS Application" as a case study, this invention integrates it with the application supervision platform based on consortium blockchain. Evaluation results of the "Mobile POS Application" demonstrate that the invented application supervision platform based on consortium blockchain achieves dynamic detection and comprehensive evaluation of the entire lifecycle management and risks of innovative fintech applications. It effectively supports the efficient operation of the sandbox testing mechanism, and all functions meet the system conceptual design requirements and achieve the expected results.

[0138] Specifically, taking China UnionPay's "Mobile POS Innovative Application" as an example, before using the application supervision platform based on consortium blockchain of this invention, a dedicated team needs to regularly and manually compile test operation reports for the innovative application (including quantitative data: number of transactions, transaction amount, number of suspected cash-out transactions, number of suspected fraudulent collusion merchants, and qualitative data: information on partners, key difficulties and challenges, and work plans for the next stage, etc.), and submit them to the regulatory agency via email in the form of bi-weekly reports. In addition, since there are no professional public opinion monitoring tools, they can only rely on manual retrieval of relevant public opinion information.

[0139] After integrating with the application supervision platform based on consortium blockchain of this invention, the following performance indicators were achieved: First, the supervision consortium blockchain enabled credible evidence storage and efficient traceability of information throughout the entire process of innovative application sandbox testing, and achieved early warning of application risks such as suspected fraud through smart contracts; Second, the public opinion panoramic monitoring system enabled the monitoring of public opinion from mainstream news media, public accounts, Weibo, and self-media, and could provide relevant information (including public opinion summaries, public opinion overviews, alarm information, crisis index, heat index, sentiment distribution, etc.) to the business team in a timely manner, facilitating public opinion guidance. According to statistics, the accuracy rate of automatic extraction of financial event clues by the public opinion monitoring platform is ≥90%, and the accuracy rate of netizen sentiment polarity classification is ≥70%, both of which are at the leading level in the industry; Third, it enabled full-process management of sandbox testing. Due to the supervision platform's function of managing the entire lifecycle of innovative applications, according to statistics, the time cost invested by personnel involved in mobile POS integration has decreased by 80% year-on-year.

[0140] Next, the application supervision method based on consortium blockchain of the present invention will be described.

[0141] Figure 7 This is a flowchart illustrating the application supervision method based on consortium blockchain of the present invention.

[0142] like Figure 7 As shown, the application supervision method based on consortium blockchain of the present invention includes:

[0143] Information storage step S100: Store the application's test-related information on the consortium blockchain.

[0144] Risk monitoring step S200: Based on the test-related information of the application stored on the chain from the information storage step, monitor the application's operational status and output the monitoring results; and

[0145] Results evaluation step S300: The application is evaluated based on the monitoring results from the risk monitoring step according to pre-set rules.

[0146] In the information storage step S100, a chain structure combined with timestamps and asymmetric encryption is used to store the test-related information of the application on the chain.

[0147] In the risk monitoring step S200, risk monitoring is performed on the security of technology use and business continuity.

[0148] In the risk monitoring step S200, zero-knowledge proof technology is used to monitor test-related information of the application.

[0149] The risk monitoring step S200 includes:

[0150] Risk control and early warning steps, based on smart contracts, are implemented to provide risk control and early warning for applications during sandbox testing; and

[0151] The public opinion monitoring process involves monitoring the operational status of the application and using big data technology to obtain public opinion information.

[0152] The public opinion monitoring steps include:

[0153] The steps of multi-source heterogeneous data joint modeling are as follows: acquire multi-source heterogeneous data from the Internet, integrate the joint modeling strategy of data content and network result relationship, and construct a data model by associating content semantics with network structure;

[0154] The steps for building a knowledge graph are: mining the relationships between applications to construct the knowledge graph;

[0155] The steps of public opinion analysis involve analyzing information based on text content comprehension to obtain public opinion information.

[0156] The evolutionary analysis steps include detecting the application evolution stages, clustering the application evolution stages, and outputting the clustering results.

[0157] The visualization step visually displays the public opinion information output by the public opinion analysis step and the clustering results output by the evolutionary analysis step.

[0158] Furthermore, the public opinion analysis steps include:

[0159] The media focus analysis sub-step, based on phrase independence and semantic completeness, extracts independent phrases, clusters phrase variants by compressing the similarity search space, and obtains the media intersection analysis results; and

[0160] The sub-step of netizen sentiment analysis involves identifying positive and negative sentiment indicators based on Z-Score and adding them to the sentiment lexicon. Based on relevant netizen information and the sentiment lexicon, the netizen sentiment analysis results are obtained.

[0161] Furthermore, the evolutionary analysis steps include:

[0162] The evolutionary detection sub-step integrates event information, information forwarding links, number of participants, and social networks to construct a corresponding dataset for training a stage classifier; and

[0163] The evolutionary clustering sub-step groups the development and evolution processes of different events through different cluster centers. For each group of event sequences, the automatic clustering process of event evolution stages is achieved by merging adjacent stages.

[0164] The present invention also provides a computer-readable medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the aforementioned application supervision method based on consortium blockchain.

[0165] The present invention also provides a computer device, including a storage module, a processor, and a computer program stored on the storage module and executable on the processor, characterized in that the processor implements the application supervision method based on consortium blockchain when executing the computer program.

[0166] According to the application supervision platform and method based on consortium blockchain of the present invention, consortium blockchain technology enables trusted on-chain storage and efficient traceability of application supervision data throughout its entire lifecycle, and combines privacy computing technologies such as zero-knowledge proof and secret sharing to achieve data collaboration without disclosing sensitive information; based on smart contract technology, it realizes the digitization and programmability of supervision rules, thereby enabling risk control early warning and audit support for the application sandbox testing process; based on public opinion big data technology, it achieves accurate perception and in-depth mining of media focus and netizens' opinions on the application.

[0167] The above examples primarily illustrate the application supervision platform and method based on consortium blockchain of the present invention. Although only some specific embodiments of the invention have been described, those skilled in the art should understand that the invention can be implemented in many other forms without departing from its spirit and scope. Therefore, the examples and embodiments shown are considered illustrative rather than restrictive, and the invention may encompass various modifications and substitutions without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. An application supervision platform based on consortium blockchain, characterized in that, include: The information storage system is used to store information related to the sandbox testing of financial innovation applications on the consortium blockchain. The risk monitoring system is used to monitor the running status of the application and output monitoring results based on the sandbox test information of the application stored on the chain from the information storage system. as well as The results evaluation system is used to evaluate the application based on the monitoring results from the risk monitoring system and according to pre-defined rules. The risk monitoring system includes: The public opinion monitoring system is used to monitor the operational status of applications and obtain public opinion information using big data technology. The public opinion monitoring system includes: The multi-source heterogeneous data joint modeling module is used to acquire multi-source heterogeneous data from the Internet, integrate the joint modeling strategy of data content and network result relationship, and construct a data model by associating content semantics with network structure. The knowledge graph construction module is used to mine the relationships between applications and build a knowledge graph. The public opinion analysis module is used to analyze information based on text content understanding and obtain public opinion information; and The evolution analysis module is used to detect the application evolution stage, cluster the application evolution stage, and output the clustering results.

2. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The information storage system uses a chain structure combined with timestamps and asymmetric encryption to store test-related information of the application on the chain.

3. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The risk monitoring system monitors the security of technology use and business continuity.

4. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The risk monitoring system uses zero-knowledge proof technology to monitor application testing-related information.

5. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The risk monitoring system further includes: The risk control and early warning system is used to implement risk control and early warning for applications during sandbox testing based on smart contracts.

6. The application monitoring platform based on consortium blockchain as described in claim 5, characterized in that, The risk control and early warning system includes: A sandbox execution container is used to store smart contracts and perform risk control and early warning based on smart contracts; A blockchain generator is used to generate a blockchain from test-related information from the application in the sandbox execution container; and The database stores the blockchain generated by the blockchain generator in multiple blocks using a consensus algorithm.

7. The application monitoring platform based on consortium blockchain as described in claim 6, characterized in that, Within the sandbox execution container, risk control and early warning based on smart contracts are executed in the following manner: The pre-defined rules and protocols are compiled into smart contracts and deployed on the consortium blockchain; Regularly or in real time, upload application testing-related information to the consortium blockchain and synchronize the application testing-related information to other nodes on the consortium blockchain; as well as The smart contract automatically performs checks. If the smart contract is triggered, it will be monitored. Once an anomaly is detected, suspicious transactions will be located and an alert will be issued.

8. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The public opinion analysis module includes: The media focus analysis submodule, based on phrase independence and semantic completeness, extracts independent phrases, clusters phrase variants by compressing the similarity search space, and obtains media intersection analysis results; and The internet user sentiment analysis submodule identifies positive and negative sentiment indicators based on the Z-Score metric and adds them to the sentiment lexicon. Based on application-related internet user information and the sentiment lexicon, it obtains the internet user sentiment analysis results.

9. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The evolutionary analysis module includes: The evolution detection submodule integrates event information to construct a corresponding dataset for training a stage classifier; and The evolutionary clustering submodule groups the development and evolution processes of different events by different cluster centers. For each group of event sequences, it automatically clusters the event evolution stages by merging adjacent stages.

10. The application monitoring platform based on consortium blockchain as described in claim 1, characterized in that, The public opinion monitoring system further includes: The visualization module is used to visually display the public opinion information output by the public opinion analysis module and the clustering results output by the evolution analysis module.

11. An application supervision method based on consortium blockchain, characterized in that, include: The information storage step involves storing information related to the sandbox testing of financial innovation applications on the consortium blockchain. The risk monitoring step monitors the application's operational status and outputs monitoring results based on the sandbox test information of the application stored on the chain from the information storage step. as well as The results evaluation step evaluates the application based on the monitoring results from the risk monitoring step and according to pre-defined rules. The risk monitoring steps further include: The public opinion monitoring process involves monitoring the application's operational status and using big data technology to obtain public opinion information. The public opinion monitoring steps include: The steps of multi-source heterogeneous data joint modeling are as follows: acquire multi-source heterogeneous data from the Internet, integrate the joint modeling strategy of data content and network result relationship, and construct a data model by associating content semantics with network structure; The steps for building a knowledge graph are: mining the relationships between applications to construct the knowledge graph; The steps of public opinion analysis include: analyzing information based on text content understanding to obtain public opinion information; and... The evolutionary analysis steps enable the detection of application evolution stages and the clustering of application evolution stages, and output clustering results information.

12. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, In the information storage step, a chain structure combined with timestamps and asymmetric encryption is used to store the test-related information of the application on the chain.

13. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, In the risk monitoring step, risks related to technology use security and business continuity are monitored.

14. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, In the risk monitoring step, zero-knowledge proof technology is used to monitor test-related information of the application.

15. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, The risk monitoring steps further include: Risk control and early warning steps are implemented based on smart contracts to achieve risk control and early warning during the application's sandbox testing and operation.

16. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, The public opinion analysis steps include: The media focus analysis sub-step, based on phrase independence and semantic completeness, extracts independent phrases, clusters phrase variants by compressing the similarity search space, and obtains the media intersection analysis results; and The sub-step of netizen sentiment analysis involves identifying positive and negative sentiment indicators based on Z-Score and adding them to the sentiment lexicon. Based on relevant netizen information and the sentiment lexicon, the netizen sentiment analysis results are obtained.

17. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, The evolutionary analysis steps include: The evolution detection sub-step integrates event information and constructs a corresponding dataset to train a stage classifier; and The evolutionary clustering sub-step groups the development and evolution processes of different events through different cluster centers. For each group of event sequences, the automatic clustering process of event evolution stages is achieved by merging adjacent stages.

18. The application supervision method based on consortium blockchain as described in claim 11, characterized in that, The public opinion monitoring steps further include: The visualization step visually displays the public opinion information output by the public opinion analysis step and the clustering results output by the evolutionary analysis step.

19. A computer-readable medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the application supervision method based on consortium blockchain as described in any one of claims 11 to 18.

20. A computer device, comprising a storage module, a processor, and a computer program stored on the storage module and executable on the processor, characterized in that, When the processor executes the computer program, it implements the application supervision method based on consortium blockchain as described in any one of claims 11 to 18.

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