Virtual prop cross-border transaction compliance auditing system

Abstract

The invention relates to the technical field of virtual item cross-border transaction, in particular to a virtual item cross-border transaction compliance auditing system. The system comprises a transaction compliance smart contract generation module, a decentralized oracle machine network, a compliance smart contract execution engine and a compliance proof binding and storage module. The system dynamically generates an intelligent contract bound with a transaction by calling and combining compliance atomic operations from a compliance atomic operation library, obtains verification data by using a decentralized oracle network, executes compliance verification in an isolation environment and generates an electronic certificate, and finally encrypts and binds the certificate and a transaction record and stores the certificate and the transaction record in a distributed manner. According to the system, accurate adaptation of compliance requirements of multiple jurisdictions can be realized, a transparent and credible auditing and verifying mechanism is established, and the accuracy and traceability requirements of cross-border transaction compliance auditing are met.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of virtual prop cross-border transaction, more particularly, the present application relates to a virtual prop cross-border transaction compliance auditing system. BACKGROUND

[0002] With the globalization of digital economy, virtual prop cross-border transactions are increasingly frequent, involving the complexity and dynamic characteristics of compliance requirements in different jurisdictions. Establishing an effective compliance auditing mechanism is of great practical significance for ensuring the legality of transactions, maintaining market order and promoting the healthy development of international digital trade.

[0003] Existing virtual prop transaction compliance auditing systems mainly use a matching method based on a fixed rule base, which has many technical limitations. First, the system usually makes logical judgments based on a static rules database, which is difficult to adapt to the frequent updates and differentiated management requirements of regulatory policies in different jurisdictions, resulting in lagging or biased audit results. Second, the traditional architecture lacks flexibility in dealing with complex cross-border transaction scenarios. When transactions involve multiple jurisdictions, the system often uses a simple superposition or selective application of rules, which cannot achieve organic integration and dynamic adaptation of rules. Third, existing technical solutions generally use a centralized auditing mode, which has a single point of failure and lacks transparency in the auditing process, making it difficult to establish a credible verification mechanism. Finally, most systems only provide binary audit results of pass or reject, lack complete records and verifiable evidence of audit grounds, and cannot meet the traceability requirements of regulatory audits and dispute resolution.

[0004] Therefore, a virtual prop cross-border transaction compliance auditing system is proposed to address the above problems. The main technical problems to be solved include: how to achieve dynamic adaptation and organic integration of multi-jurisdictional compliance requirements, how to establish a transparent and credible auditing verification mechanism, how to ensure the traceability and proof of the auditing process, and how to improve the system's adaptability to changes in regulatory policies. SUMMARY

[0005] To overcome the above-mentioned defects of the prior art, embodiments of the present application provide a virtual prop cross-border transaction compliance auditing system to solve the problems raised in the background art.

[0006] To achieve the above-mentioned purposes, the present application provides the following technical solutions: a virtual prop cross-border transaction compliance auditing system, comprising: a transaction compliance smart contract generation module, configured to dynamically generate a transaction compliance smart contract uniquely bound to the transaction and independently executable, by invoking and combining multiple compliance atomic operations from a compliance atomic operation library according to the jurisdiction, virtual prop type and transaction mode involved in the transaction request before the transaction is initiated, wherein the compliance atomic operation is a predefined, indivisible minimum compliance verification unit; a decentralized oracle network, configured to obtain and verify real-time data required for executing the transaction compliance smart contract from authorized external data sources, including but not limited to the latest identity authentication status of the transaction parties, real-time ownership information of the virtual prop and the latest version hash value of the regulatory policy of each jurisdiction, when the transaction compliance smart contract is executed; a compliance smart contract execution engine, configured to execute the transaction compliance smart contract in an isolated environment before the transaction is agreed, the engine invokes the data provided by the decentralized oracle network, executes the compliance atomic operations in the contract in sequence, and generates an electronic proof with legal effect indicating whether the transaction passes the compliance verification; a compliance proof binding and notarization module, configured to encrypt and bind the electronic proof as indivisible metadata with the transaction record itself, and distribute and store the same in multiple notarization nodes after the transaction passes the compliance verification.

[0007] Preferably, the compliance atomic operations in the compliance atomic operation library at least include: an identity verification atomic operation, configured to verify the authenticity and validity of the transaction subject identity; a prop compliance atomic operation, configured to verify the tradability of a specific virtual prop in a specific jurisdiction; a quota check atomic operation, configured to verify whether the single transaction amount or cumulative transaction amount meets the regulatory threshold; and a regulatory reporting atomic operation, configured to automatically generate and send a regulatory report in a specified format when a specific condition is triggered.

[0008] Preferably, the transaction compliance smart contract generation module dynamically generates a smart contract through a contract template combination algorithm based on a directed acyclic graph; the algorithm selects applicable nodes from a contract template graph according to the characteristics of the transaction, and links these nodes according to specific dependencies, wherein each node encapsulates one or more compliance atomic operations.

[0009] Preferably, the system further comprises a compliance atomic operation market module; the module allows an authenticated third-party compliance service provider to publish its developed and audited compliance atomic operations to the compliance atomic operation library for the transaction compliance smart contract generation module to invoke, and pays fees to the service provider according to the number of invocations or results.

[0010] Preferably, the decentralized oracle network adopts a multi-data source aggregation mechanism based on threshold signature technology; for each type of key data, multiple independent oracle nodes obtain data from different authorized data sources, and the final confirmed data is provided to the compliance smart contract execution engine only after consensus is reached through the threshold signature mechanism.

[0011] Preferably, the compliance smart contract execution engine generates a structured and readable compliance verification track during contract execution; the track records the input, output, execution status of each compliance atomic operation, as well as the data source and version used, and the track is also hashed and stored in the compliance proof binding and evidence storage module.

[0012] Preferably, the system further comprises a cross-chain compliance proof verification module; the module allows other blockchain networks or traditional financial systems to query and verify the authenticity and validity of the electronic proof bound to the transaction in the system through a standard application program interface without accessing all underlying data of the system.

[0013] Preferably, the cross-chain compliance proof verification module adopts zero-knowledge proof technology; when responding to external verification requests, it can generate a proof to prove that a transaction has passed the compliance verification of the system and the electronic proof is real and valid without disclosing the specific content of the transaction.

[0014] Preferably, the transaction compliance smart contract generation module introduces a game theory-based incentive mechanism when combining compliance atomic operations; the mechanism dynamically adjusts the verification strictness level of each atomic operation in the contract according to the historical compliance performance of the transaction, and simplifies the verification process for transactions with good compliance records to improve efficiency.

[0015] Preferably, the system is provided with a regulatory sandbox management module; the module allows regulatory agencies to deploy experimental compliance rules in the system and encapsulate them as specific compliance atomic operations to test their impact and effect in a limited range of real transaction environment, and dynamically adjust or officially release the rules according to the test results.

[0016] Technical effects and advantages of the present application: Compared with the prior art, the application generates a compliance verification contract dynamically according to specific transaction characteristics before the transaction is initiated by constructing a transaction compliance smart contract generation module. The system calls relevant operation units from a predefined compliance atomic operation library and forms an executable contract uniquely bound to the transaction through a combination algorithm based on a directed acyclic graph. This design enables each transaction to have independent compliance verification logic, accurately adapts to the complex compliance requirements of multiple jurisdictions, effectively improves the accuracy and relevance of the audit, and provides a complete logical basis for subsequent audits.

[0017] By establishing a decentralized oracle network, the application realizes safe and reliable acquisition of external data. The network uses a multi-data source aggregation mechanism based on threshold signature technology, and multiple independent nodes obtain key data from different authorized sources and reach a consensus to provide it to the contract execution engine. This working method reduces the trust risk brought by a single data source, ensures the authenticity and timeliness of key data such as identity authentication status, prop ownership information and regulatory policy version, and provides a solid data foundation for compliance decision-making.

[0018] The compliance smart contract execution engine adopted by the application runs the dynamically generated compliance contract in an isolated environment, executes each compliance atomic operation in sequence and generates an electronic proof with legal effect. The execution process produces a structured compliance verification track that records the input, output and execution state of each operation unit. This mechanism not only ensures the integrity and reproducibility of the audit process, but also establishes an unalterable audit track through encryption binding and distributed evidence storage, enhancing the credibility and proof of the audit results.

[0019] By introducing a compliance atomic operation market module, the application establishes an ecological operation mechanism for compliance services. Certified third-party service providers can publish their developed compliance atomic operations to the shared library, and the system calls them according to transaction needs and pays compensation to the providers according to the usage effect. This open architecture promotes the continuous innovation and optimization of compliance technology, enabling the system to absorb the latest compliance practice results in a timely manner, while creating a value return channel for professional compliance service providers, forming a healthy technology development ecosystem. BRIEF DESCRIPTION OF DRAWINGS

[0020] Fig. 1 The system core module flowchart of the application.

[0021] Fig. 2 The compliance atomic operation combination diagram of the application.

[0022] Fig. 3 The data verification and execution process diagram of the application.

[0023] Fig. 4This is a schematic diagram of the extended functional modules of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0025] As attached Figs. 1 to 4 The system shown is a compliance review system for cross-border transactions of virtual items. Through modular design and algorithm improvement, the system achieves automation and credibility in the compliance review of cross-border transactions.

[0026] The system's core architecture comprises four main components: a transaction compliance smart contract generation module responsible for dynamically constructing proprietary verification logic based on transaction characteristics; a decentralized oracle network ensuring the reliability and tamper-resistance of external data sources; a compliance smart contract execution engine running the verification logic and generating audit trails in an isolated environment; and a compliance proof binding and storage module ensuring the non-repudiation of audit results through distributed storage technology. The collaborative work of these modules constitutes a complete technological ecosystem, effectively addressing the complexity and dynamism of compliance requirements across multiple jurisdictions.

[0027] Furthermore, the system includes a compliance atomic operation library that employs a hierarchical storage architecture to manage various standardized compliance verification units. Identity verification atomic operations are implemented by integrating a multi-factor authentication mechanism, specifically using a digital certificate verification process based on asymmetric encryption. Upon receiving an identity verification request, the system extracts the public key information from the certificate and verifies its validity through the certificate chain, while simultaneously performing real-time comparisons with official identity databases of various jurisdictions.

[0028] The item compliance atomic operation constructs a multi-dimensional classification system. This system not only considers the basic attributes of items, but also introduces a spatiotemporal dimension to record the compliance status changes of the same item in different jurisdictions and time periods. The system tracks these dynamic changes by maintaining a versioned status database.

[0029] The credit limit check atomic operation adopts an adaptive threshold management mechanism. In addition to the basic transaction amount limit, it also takes into account multiple risk factors such as transaction frequency and counterparty credit rating, and dynamically adjusts the actual effective credit limit limit through a weighted risk assessment model.

[0030] The regulatory filing atomic operation uses intelligent template technology, which can automatically select the appropriate reporting template and fill in the necessary information according to the specific characteristics of the transaction. These templates strictly follow the data format requirements and reporting standards of each jurisdiction.

[0031] This sophisticated atomic operation design enables the system to break down complex compliance requirements into functional units that can be independently managed, tested, and upgraded, greatly improving the system's maintainability and scalability.

[0032] Furthermore, the smart contract generation module for transaction compliance employs a smart combinatorial algorithm based on a directed acyclic graph (DAG). This algorithm constructs the optimal execution path by analyzing the logical dependencies between compliant atomic operations. The algorithm first establishes a complete operation relationship graph G=(V,E), where the vertex set V represents all available compliant atomic operations, and the edge set E represents the dependencies between operations. For example, item classification verification must be performed before quota verification.

[0033] When processing new transaction requests At that time, the system uses a feature extraction function A multi-dimensional feature vector is generated, containing key attributes such as transaction amount, jurisdiction involved, and virtual item type. Then, an improved graph matching algorithm is used to find the optimal subgraph in the global graph. The matching process is achieved by maximizing the objective function:

[0034] in Representing atomic operations Weighting coefficients under the current combination of jurisdictions The function calculates the cosine similarity between transaction characteristics and operational suitability. The function evaluates the compliance coverage completeness of the subgraph. and These are the balancing parameters.

[0035] This subgraph selection strategy based on multi-objective optimization ensures that the generated smart contracts meet compliance requirements while maintaining high execution efficiency.

[0036] Furthermore, the compliant atomic operation marketplace module built by the system operates under a decentralized autonomous organization (DAO) model, providing third-party compliance service providers with complete technical access and commercial reward mechanisms. Developers create new compliant atomic operations using a standardized software development kit (SDK), which provides a complete testing environment and simulation data to ensure that newly developed operations can be seamlessly integrated with existing systems.

[0037] Each newly submitted atomic operation undergoes rigorous verification by an automated testing framework, covering multiple dimensions including functional correctness, performance metrics, and security protection. The market module employs a usage-based billing model, comprehensively considering factors such as actual usage frequency, execution success rate, and user satisfaction. The billing formula is further expanded as follows:

[0038] in This indicates the success rate of the operation. As for the frequency of complaints, and This represents the corresponding reward and punishment coefficient.

[0039] This refined billing mechanism not only considers resource consumption costs but also incorporates service quality, promoting quality competition and continuous optimization in compliant operations within the market.

[0040] Furthermore, decentralized oracle networks employ advanced threshold signature technology and multi-source data verification mechanisms to ensure reliable input of external data. The network consists of... It consists of geographically distributed data verification nodes that work together through a consensus protocol.

[0041] When you need to retrieve a certain data item (e.g., user identity status) when the network simultaneously... Information is collected from each independent data source, and the data provided by each data source is denoted as... Each verification node uses a distributed key generation technique based on elliptic curve cryptography to generate its own private key fragments. And sign the hash value of the collected data:

[0042] The signature collection phase employs an improved practical Byzantine fault-tolerant algorithm, which only works when more than a threshold is collected. Only when there are 1 valid signatures can the joint signature be reconstructed using the Lagrange interpolation formula:

[0043] in For Lagrange coefficients, For nodes The public key index.

[0044] This ensures that even if some nodes fail or are maliciously attacked, the network can still provide reliable data services, establishing a solid data foundation for compliance decisions.

[0045] Furthermore, when running smart contracts in a dedicated sandbox environment, the compliant smart contract execution engine records the complete verification trajectory through a deep monitoring mechanism. The engine uses bytecode instrumentation technology to implant monitoring probes at key execution points. These probes can non-intrusively capture the execution status of each atomic operation, including input parameters, intermediate calculation results, execution timestamps, and exception information.

[0046] All monitoring data is organized in a unified structured format and stored as a Merkle tree. The Merkle tree is constructed using a recursive hash algorithm, with each leaf node corresponding to the hash value of an operation record. The intermediate node performs a hash calculation by connecting the hash values ​​of its child nodes and then hashing them again.

[0047] This tree structure not only ensures data integrity but also supports efficient proof of existence. Any tampering with a record will result in a change in the root hash value, thus providing a reliable technical basis for subsequent auditing.

[0048] Furthermore, the system-integrated cross-chain compliance verification module employs zero-knowledge proof technology to achieve privacy-preserving compliance verification. This module, based on the zk-SNARKs proof system, transforms the compliance verification logic into an arithmetic circuit form.

[0049] For a transaction For compliance status verification, the system generates a concise proof. The proof encodes the statement The verification process is described, but the specific details of the transaction are not disclosed. The proof generation process first represents the verification logic as a quadratic arithmetic procedure:

[0050] in Input variables for the circuit, These are the circuit structure parameters. Then, the Groth16 protocol is used to generate proof triples. The verifier only needs to perform simple bilinear pairwise verification:

[0051] in It is a bilinear mapping function. These are common system parameters.

[0052] This cryptographic proof mechanism provides a reliable compliance status verification for cross-chain interoperability without disclosing any transaction details.

[0053] Furthermore, the smart contract generation module for transaction compliance introduces a credit incentive mechanism based on repeated game theory. This system establishes a dynamically updated credit profile for each transaction participant. The credit scoring model comprehensively considers multiple dimensions such as the user's transaction history, compliance record, and complaint frequency, and updates the score periodically through machine learning algorithms.

[0054] The credit score update follows a Markov decision process model:

[0055] in The decay factor for historical weights, For the first Compliance score for this transaction The time decay coefficient, and These represent penalties for violations and rewards for outstanding performance, respectively. and This is the corresponding adjustment coefficient.

[0056] Based on this credit score, the system automatically adjusts the verification strictness when generating smart contracts. Users with high credit scores can enjoy simplified processes, such as increasing the transaction limit and reducing repeated verification steps. This differentiated treatment not only incentivizes compliant behavior but also optimizes the overall efficiency of the system.

[0057] Furthermore, the system's regulatory sandbox management module provides regulatory agencies with a complete experimental environment and a testing platform for new regulations. This module uses containerization technology to achieve environmental isolation, ensuring that testing activities do not affect the stable operation of the production system.

[0058] Regulatory agencies can define experimental compliance rules, set test parameters, and evaluation metrics through a graphical interface. During testing, the system will record detailed execution data and performance metrics of the rules, including trigger frequency, false alarm rate, processing delay, and user feedback.

[0059] After the test, the module analyzes the effect of the rules using a multi-objective optimization algorithm:

[0060] in Given the rule parameter vector, the objective function is... to These represent the false alarm rate, false negative rate, processing delay, and user satisfaction, respectively.

[0061] Pareto optimal frontier analysis provides regulatory agencies with a scientific basis for rule optimization, supporting the steady implementation and continuous improvement of regulatory policies.

[0062] To more fully demonstrate the workflow in a specific application scenario, consider a real-world case involving the transfer of advanced virtual game items from location A to location B. The transaction amount is 1500 yuan, and the items involved have time-sensitive limitations.

[0063] During the system initialization phase, the transaction compliance smart contract generation module first parses the transaction request and extracts key feature vectors. The optimal subgraph in the compliance atomic operation graph was found by using a graph matching algorithm. The optimal combination of four atomic operations—identity verification, item classification verification, quota check, and special license verification—was calculated, with an objective function value of 0.87 (out of 1.0).

[0064] The decentralized oracle network has started operating, retrieving identity verification status from three independent data sources. The number of signatures collected by the nodes is 3, exceeding a set threshold. The joint signature is reconstructed using the Lagrange interpolation formula:

[0065] in , , .

[0066] After the signature verification is successful, the data is input into the smart contract execution engine.

[0067] The compliant smart contract execution engine executes each atomic operation sequentially within the sandbox. The identity verification operation is executed first, confirming the user's identity through a digital certificate verification process. The item classification and verification operation queries the distributed ledger to confirm the item's permission status for transfer between countries.

[0068] The credit limit check operation calculates the user's cumulative transaction amount for the day, combined with their credit score. The actual effective limit has been adjusted to 2,000 yuan. Special license verification checks the compliance of time-sensitive clauses.

[0069] The execution record of each operation is captured in real time and a Merkle tree is constructed. Assuming the hash values ​​of the three leaf nodes are respectively... Then the intermediate node hash Root hash .

[0070] After execution, the system updates the user's credit score. This assumes the transaction received a compliance score. With no penalty items and a reward of 0.1, the new credit score is:

[0071] Simultaneously generate zero-knowledge proofs Verification via bilinear pairing Confirm the validity of the certificate.

[0072] Finally, the compliance certificate is linked to the transaction record and stored in a distributed manner to complete the entire review process.

[0073] This complete workflow demonstrates the deep collaboration among the system's various technical modules and the practical application of algorithm components, reflecting the completeness and effectiveness of the technical solution in handling complex cross-border transaction scenarios. Through the organic combination of modular architecture, cryptographic guarantees, and optimized algorithms, the system establishes a trustworthy, efficient, and adaptive compliance audit mechanism.

[0074] Finally, the following points should be noted: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installation", "connection", and "linkage" should be interpreted broadly, and can be mechanical or electrical connections, or internal connections between two components, or direct connections. "Up", "down", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may change. Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A compliance review system for cross-border transactions of virtual items, characterized in that, include: The transaction compliance smart contract generation module is used to dynamically generate a transaction compliance smart contract that is uniquely bound to the transaction and can be executed independently, based on the jurisdiction, virtual item type and transaction mode involved in the transaction request before the transaction is initiated. The compliance atomic operation is a predefined, indivisible minimum compliance verification unit. A decentralized oracle network is used to obtain and verify real-time data required for executing the transaction compliance smart contract from multiple authorized external data sources, including but not limited to the latest identity authentication status of the two parties to the transaction, real-time ownership information of virtual items, and the latest version hash values ​​of regulatory policies in various jurisdictions. The compliance smart contract execution engine is used to execute the transaction compliance smart contract in an isolated environment before a consensus is reached. The engine calls the data provided by the decentralized oracle network, executes the compliance atomic operations in the contract in sequence, and generates a legally valid electronic certificate indicating whether the transaction has passed compliance verification. The system also includes a compliance certificate binding and storage module, which is used to encrypt and bind the electronic certificate as indivisible metadata to the transaction record itself after the transaction passes compliance verification, and to distribute and store it on multiple storage nodes.

2. The virtual item cross-border transaction compliance review system according to claim 1, characterized in that, The compliant atomic operations in the compliant atomic operation library include at least the following: Identity verification atomic operations are used to verify the authenticity and validity of the identity of the transaction entity. Item compliance atomic operations are used to verify the tradability of specific virtual items in a specific jurisdiction. The quota check atomic operation is used to verify whether the amount of a single transaction or the cumulative amount of transactions meets the regulatory threshold. And the atomic operation for regulatory reporting, used to automatically generate and send regulatory reports in a specified format when triggered by specific conditions.

3. The virtual item cross-border transaction compliance review system according to claim 2, characterized in that, The transaction compliance smart contract generation module dynamically generates smart contracts through a contract template combination algorithm based on a directed acyclic graph. Based on the characteristics of this transaction, the algorithm selects applicable nodes from a contract template graph and links these nodes according to specific dependencies, where each node encapsulates one or more of the compliance atomic operations.

4. The virtual item cross-border transaction compliance review system according to claim 3, characterized in that, The system also includes a compliance atomic operation marketplace module; this module allows certified third-party compliance service providers to publish their developed, audited compliance atomic operations to the compliance atomic operation library for use by the transaction compliance smart contract generation module, and to pay the service provider a fee based on the number of calls or the results.

5. The virtual item cross-border transaction compliance review system according to claim 1, characterized in that, The decentralized oracle network employs a multi-data source aggregation mechanism based on threshold signature technology. For each type of key data, multiple independent oracle nodes obtain the data from different authorized data sources and reach a consensus through the threshold signature mechanism before providing the finally confirmed data to the compliant smart contract execution engine.

6. The virtual item cross-border transaction compliance review system according to claim 1, characterized in that, During the execution of the contract, the compliance smart contract execution engine generates a structured and readable compliance verification trajectory. This trajectory records in detail the input, output, execution status, and data source and version used for each compliance atomic operation. This trajectory is also hashed and stored in the compliance proof binding and storage module.

7. The virtual item cross-border transaction compliance review system according to claim 1, characterized in that, The system also includes a cross-chain compliance proof verification module; this module allows other blockchain networks or traditional financial systems to query and verify the authenticity and validity of the electronic proofs bound to transactions within this system through standard application programming interfaces, without needing to access all the underlying data of this system.

8. A compliance review system for cross-border transactions of virtual items according to claim 7, characterized in that, The cross-chain compliance verification module uses zero-knowledge proof technology; when responding to external verification requests, it can generate a proof without disclosing the specific content of the transaction, confirming that a transaction has passed the compliance verification of this system and that the electronic proof is authentic and valid.

9. A compliance review system for cross-border transactions of virtual items according to claim 1, characterized in that, The transaction compliance smart contract generation module introduces a game theory-based incentive mechanism when combining compliance atomic operations. This mechanism dynamically adjusts the verification severity level of each atomic operation in the current contract based on the transaction's historical compliance performance. For parties with excellent compliance records, a simplified verification process is adopted to improve efficiency.

10. A compliance review system for cross-border transactions of virtual items according to claim 1, characterized in that, The system includes a regulatory sandbox management module; this module allows regulatory agencies to deploy experimental compliance rules in the system, encapsulate them as specific compliance atomic operations, test their impact and effects in a limited range of real trading environments, and dynamically adjust or officially release the rules based on the test results.

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