Target Transaction Object Verification Method and Device

Abstract

The embodiments of this specification provide a method and device for verifying a target transaction object. Among them, the method for verifying a target transaction object includes obtaining at least one piece of transaction data from a transaction database, parsing each piece of transaction data in the at least one piece of transaction data to determine at least one transaction object in each piece of transaction data; determining a target transaction object from the at least one transaction object based on project requirements, and obtaining behavioral information of the target transaction object in multiple dimensions from multiple third-party platforms based on the target transaction object; verifying the authenticity of the target transaction object based on the behavioral information in multiple dimensions. Specifically, the method verifies the authenticity of each target transaction object by obtaining behavioral information of each target transaction object in multiple dimensions on multiple other third-party platforms, and ensures the accuracy of the authenticity verification of each target transaction object based on multi-party information and mutual confirmation among multiple parties.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of compliance technology, and particularly to a method for verifying target transaction objects. Background Art

[0002] In the era of the rapid development of the Internet, there have emerged more and more cross-border e-commerce platforms that support cross-border trade. The transactions concluded on cross-border e-commerce platforms are cross-border trade. In order to ensure the security of cross-border trade, regulatory authorities need to supervise cross-border trade.

[0003] Currently, for cross-border trade carried out through third-party payment platforms, third-party cross-border payment companies will report cross-border trade to cooperative banks. Cooperative banks will conduct spot checks on the cross-border trade carried out by third-party cross-border payment companies every month. In order to ensure the compliance of each cross-border trade declared to the regulatory agency, third-party cross-border payment companies will pre-screen the compliance of each cross-border trade before reporting it to cooperative banks. When third-party cross-border payment companies conduct compliance screening on each cross-border trade, the first thing to determine is the authenticity of the two parties to the cross-border trade to avoid the emergence of unsafe factors in cross-border trade.

[0004] Based on this, how to verify the authenticity of the two parties to each cross-border trade has become a technical problem that urgently needs to be solved at present. Summary of the Invention

[0005] In view of this, the embodiments of this specification provide a method for verifying target transaction objects. One or more embodiments of this specification also relate to a target transaction object verification device, a computing device, a computer-readable storage medium, and a computer program to solve the technical defects existing in the prior art.

[0006] According to the first aspect of the embodiments of this specification, a method for verifying target transaction objects is provided, including:

[0007] Obtain at least one piece of transaction data from a transaction database, parse each piece of transaction data in the at least one piece of transaction data, and determine at least one transaction object in each piece of transaction data;

[0008] Based on project requirements, determine a target transaction object from the at least one transaction object, and obtain multiple dimensions of behavior information of the target transaction object from multiple third-party platforms based on the target transaction object;

[0009] Verify the authenticity of the target transaction object based on the multiple dimensions of behavior information.

[0010] According to the second aspect of the embodiments of this specification, a target transaction object verification device is provided, including:

[0011] A trading object determination module, configured to obtain at least one piece of transaction data in a transaction database, parse each piece of transaction data in the at least one piece of transaction data, and determine at least one trading object in each piece of transaction data;

[0012] A behavior information determination module, configured to determine a target trading object from the at least one trading object based on project requirements, and obtain behavior information of the target trading object in multiple dimensions from multiple third-party platforms based on the target trading object;

[0013] An authentication module, configured to perform authenticity authentication on the target trading object based on the behavior information in multiple dimensions.

[0014] According to the third aspect of the embodiments of the present specification, a computing device is provided, including:

[0015] A memory and a processor;

[0016] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned target trading object verification method are implemented.

[0017] According to the fourth aspect of the embodiments of the present specification, a computer-readable storage medium is provided, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the above-mentioned target trading object verification method are implemented.

[0018] According to the fifth aspect of the embodiments of the present specification, a computer program is provided. When the computer program is executed on a computer, the computer is made to execute the steps of the above-mentioned target trading object verification method.

[0019] An embodiment of the present specification implements a method and device for verifying a target trading object. The method for verifying a target trading object includes obtaining at least one piece of transaction data in a transaction database, parsing each piece of transaction data in the at least one piece of transaction data, and determining at least one trading object in each piece of transaction data; determining a target trading object from the at least one trading object based on project requirements, and obtaining behavior information of the target trading object in multiple dimensions from multiple third-party platforms based on the target trading object; performing authenticity verification on the target trading object based on the behavior information in multiple dimensions.

[0020] Specifically, the method for verifying a target trading object verifies the authenticity of each target trading object by obtaining behavior information of each target trading object in multiple dimensions on multiple other third-party platforms, and ensures the accuracy of the authenticity verification of each target trading object based on multi-party information and mutual verification among multiple parties. Brief Description of the Drawings

[0021] Figure 1 is a flowchart of a method for verifying a target transaction object provided by an embodiment of this specification;

[0022] Figure 2 is a schematic structural diagram of a device for verifying a target transaction object provided by an embodiment of this specification;

[0023] Figure 3 is a block diagram of the structure of a computing device provided by an embodiment of this specification. Detailed Embodiments

[0024] In the following description, numerous specific details are set forth in order to provide a thorough understanding of this specification. However, this specification can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the connotation of this specification. Therefore, this specification is not limited by the specific embodiments disclosed below.

[0025] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a", "the", and "said" used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0026] It should be understood that although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0027] First, the noun terms related to one or more embodiments of this specification are explained.

[0028] Multi-dimensional Portrait: A user identity indicator generated for a trading user based on behavioral information of the trading user in multiple dimensions obtained from multiple third-party platforms.

[0029] In the regulatory scenario of cross-border transactions, the traditional method uses the method of declaration and self-certification by cross-border fund service providers to ensure the authenticity of transactions, but the supervision cannot be verified, resulting in information silos.

[0030] Based on this, in this specification, a method for verifying a target transaction object is provided. One or more embodiments of this specification are also related to a device for verifying a target transaction object, a computing device, a computer-readable storage medium, and a computer program, which will be described in detail one by one in the following embodiments.

[0031] See Figure 1 , Figure 1 shows a flowchart of a method for verifying a target transaction object provided according to an embodiment of this specification, which specifically includes the following steps.

[0032] Step 102: Obtain at least one transaction data from the transaction database, parse each piece of transaction data in the at least one transaction data, and determine at least one transaction object in each piece of transaction data.

[0033] Among them, the method for verifying a target transaction object provided by the embodiments of this specification is applied to a transaction object review platform in a cross-border payment scenario, and is used to verify the authenticity of transaction objects in cross-border payment transactions.

[0034] Then, in the cross-border payment scenario, multiple pieces of cross-border transaction data of users will be pre-stored in the transaction database. In actual application, the authenticity of the transaction objects in each piece of cross-border transaction data pre-stored in the transaction database can be verified to ensure the security and legality of this cross-border transaction. The specific implementation method is as follows:

[0035] Before obtaining at least one transaction data from the transaction database, it further includes:

[0036] Receive transaction data sent by at least one project, and store the transaction data in the transaction database.

[0037] Among them, a project can be understood as any cross-border transaction project carried out by an e-commerce platform that uses a third-party cross-border payment company for transactions.

[0038] In actual application, the transaction object review platform receives transaction data sent by multiple projects, and stores all the transaction data in the transaction database. Subsequently, the authenticity of the transaction objects in each piece of transaction data in the transaction database can be verified to ensure the compliance of each piece of transaction data.

[0039] Specifically, obtain multiple pieces of transaction data from the transaction database, and then parse each piece of the obtained transaction data to determine at least one transaction object in each piece of transaction data. Such as the payer and payee in each piece of transaction data, etc.

[0040] Step 104: Determine a target trading object from the at least one trading object based on the project requirements, and obtain behavioral information of the target trading object in multiple dimensions from multiple third-party platforms based on the target trading object.

[0041] Among them, the project requirements can be understood as authenticity verification requirements, that is, which trading object in the transaction data is the authenticity verification for this time. For example, when the project requirement is the authenticity verification for the payer in the transaction data, the target trading object determined from the at least one trading object based on this project requirement is the payer. Then, based on this target trading object, obtain behavioral information of the target trading object in multiple dimensions from multiple third-party platforms.

[0042] Specifically, the third-party platform can be understood as any type of platform that the target trading object has browsed or used, such as news websites, shopping platforms, entertainment platforms, etc.; and the behavioral information of the target trading object in multiple dimensions obtained from multiple third-party platforms can include the registration information, browsing information, friendship information, transfer information, and shopping information of the target trading object on the third-party platform, etc.

[0043] Taking the target trading object as the payer as an example, the determining of the target trading object from the at least one trading object based on the project requirements and obtaining the behavioral information of the target trading object in multiple dimensions from multiple third-party platforms based on the target trading object includes:

[0044] Determine the payment trading object as the target trading object from the at least one trading object based on the project requirements, and obtain the behavioral information of the payment trading object in multiple dimensions from multiple third-party platforms based on the payment trading object.

[0045] Among them, the payment trading object can be understood as the payer in the transaction data.

[0046] During specific implementation, when the project requirement is the authenticity verification for the payer in the transaction data, then determine the payment trading object as the target trading object from the at least one trading object based on this project requirement, and obtain the behavioral information of this payment trading object from the third-party platform.

[0047] Such as the registration information and shopping information of the payment trading object on other shopping websites; the registration information and friend information on the dating website; the registration information and income transfer record information on the fund platform, etc.

[0048] In the embodiments of this specification, when it is determined based on project requirements that the payment transaction object is the target transaction object, multiple dimensions of behavioral information of the payment transaction object can be obtained through multiple third-party platforms. Subsequently, the authenticity of the payment transaction object can be accurately verified based on the multiple dimensions of behavioral information of the payment transaction object obtained from the multiple third-party platforms.

[0049] In practical applications, payment transaction objects are further divided into individual types and enterprise types. When the type of the payment transaction object is an individual type, the determination of the payment transaction object as the target transaction object from the at least one transaction object based on project requirements includes:

[0050] When determining the payment transaction object from the at least one transaction object based on project requirements and determining that the type of the payment transaction object is an individual, the payment transaction object is determined as the target transaction object.

[0051] Specifically, when the type of the payment transaction object is an individual type, it can be determined that the payment transaction object is a payer. Then, the payment transaction object can be determined as the target transaction object, and subsequently, the authenticity of the payment transaction object can be accurately verified based on the multiple dimensions of behavioral information of the payment transaction object obtained from multiple third-party platforms.

[0052] When the type of the payment transaction object is an enterprise type, the determination of the payment transaction object as the target transaction object from the at least one transaction object based on project requirements includes:

[0053] Determining the payment transaction object from the at least one transaction object based on project requirements, and when determining that the type of the payment transaction object is an enterprise, determining at least one enterprise representative object corresponding to the payment transaction object based on the historical registration information of the payment transaction object;

[0054] Determining at least one enterprise representative object corresponding to the payment transaction object as the target transaction object.

[0055] Specifically, when the type of the payment transaction object is an enterprise type, it can be determined that the payment transaction object is one or two or more; at this time, the historical registration information of the payment transaction object can be obtained, and at least one enterprise representative object corresponding to the payment transaction object can be determined according to the historical registration information; then, the at least one enterprise representative object is determined as the target transaction object. Subsequently, the authenticity of the payment transaction object can be accurately verified based on the multiple dimensions of behavioral information of the payment transaction object obtained from multiple third-party platforms.

[0056] For example, if the type of the payment transaction object is an enterprise type, then the historical registration information of the payment transaction object (such as a certificate photo) can be obtained, and one, two or more enterprise representative objects corresponding to the payment transaction information can be determined from the historical registration information. That is, when the type of the payment transaction object is an enterprise type, there can be multiple payment transaction objects. In this case, each payment transaction object should be used as the target transaction object for subsequent authenticity verification.

[0057] Then, when the type of the payment transaction object is an enterprise type, the act of obtaining multiple dimensions of behavioral information of the payment transaction object from multiple third-party platforms based on the payment transaction object includes:

[0058] Obtaining multiple dimensions of behavioral information of each enterprise representative object from multiple third-party platforms based on the at least one enterprise representative object.

[0059] Specifically, when there are multiple target transaction objects, it is necessary to obtain multiple dimensions of behavioral information of each enterprise representative object from multiple third-party platforms in order to verify the authenticity of each enterprise representative object subsequently, so as to finally determine the authenticity of the target transaction object.

[0060] Taking the target transaction object as the payee as an example, the act of determining the target transaction object from the at least one transaction object based on the project requirements and obtaining multiple dimensions of behavioral information of the target transaction object from multiple third-party platforms based on the target transaction object includes:

[0061] Determining the receiving transaction object as the target transaction object from the at least one transaction object based on the project requirements, and obtaining multiple dimensions of behavioral information of the receiving transaction object from multiple third-party platforms based on the receiving transaction object.

[0062] Among them, the receiving transaction object can be understood as the payor in the transaction data.

[0063] In specific implementation, when the project requirement is the authenticity verification of the payee in the transaction data, the receiving transaction object is determined as the target transaction object from at least one transaction object based on this project requirement, and multiple dimensions of behavioral information of the receiving transaction object are obtained from the third-party platform.

[0064] Such as the registration information and shopping information of the receiving transaction object on other shopping websites; the registration information and friend information on dating websites; the registration information and income transfer record information on financial platforms, etc.

[0065] In the embodiments of this specification, when it is determined based on project requirements that the receiving transaction object is the target transaction object, multiple dimensions of behavioral information of the receiving transaction object can be obtained through multiple third-party platforms, and subsequently, the authenticity of the receiving transaction object can be accurately verified based on the multiple dimensions of behavioral information of the receiving transaction object obtained from the multiple third-party platforms.

[0066] In practical applications, the receiving transaction object is further divided into an individual type and an enterprise type. When the type of the receiving transaction object is the individual type, determining the receiving transaction object as the target transaction object from the at least one transaction object based on project requirements includes:

[0067] Determine the receiving transaction object from the at least one transaction object based on project requirements, and when it is determined that the type of the receiving transaction object is an individual, determine the receiving transaction object as the target transaction object.

[0068] Specifically, when the type of the receiving transaction object is the individual type, it can be determined that the receiving transaction object is a payee, then the receiving transaction object can be determined as the target transaction object, and subsequently, the authenticity of the receiving transaction object can be accurately verified based on the multiple dimensions of behavioral information of the receiving transaction object obtained from the multiple third-party platforms.

[0069] When the type of the receiving transaction object is the enterprise type, determining the receiving transaction object as the target transaction object from the at least one transaction object based on project requirements includes:

[0070] Determine the receiving transaction object from the at least one transaction object based on project requirements, and when it is determined that the type of the receiving transaction object is an enterprise, determine at least one enterprise representative object corresponding to the receiving transaction object based on the historical registration information of the receiving transaction object;

[0071] Determine at least one enterprise representative object corresponding to the receiving transaction object as the target transaction object.

[0072] Specifically, when the type of the receiving transaction object is the enterprise type, it can be determined that the receiving transaction object is one or two or more; at this time, the historical registration information of the receiving transaction object can be obtained, and at least one enterprise representative object corresponding to the receiving transaction object can be determined according to the historical registration information; then the at least one enterprise representative object is determined as the target transaction object. Subsequently, the authenticity of the receiving transaction object can be accurately verified based on the multiple dimensions of behavioral information of the receiving transaction object obtained from the multiple third-party platforms.

[0073] For example, if the type of the receiving transaction object is an enterprise type, then the historical registration information of the receiving transaction object (such as a certificate photo) can be obtained, and one, two, or more enterprise representative objects corresponding to the payment transaction information can be determined from the historical registration information. That is, when the type of the receiving transaction object is an enterprise type, there can be multiple receiving transaction objects. In this case, each receiving transaction object should be used as the target transaction object for subsequent authenticity verification.

[0074] Then, when the type of the receiving transaction object is an enterprise type, the act of obtaining multiple dimensions of behavioral information of the receiving transaction object from multiple third-party platforms based on the receiving transaction object includes:

[0075] Obtaining multiple dimensions of behavioral information of each enterprise representative object from multiple third-party platforms based on the at least one enterprise representative object.

[0076] Specifically, when there are multiple target transaction objects, it is necessary to obtain multiple dimensions of behavioral information of each enterprise representative object from multiple third-party platforms in order to subsequently verify the authenticity of each enterprise representative object, thereby ultimately determining the authenticity of the target transaction object.

[0077] Step 106: Verify the authenticity of the target transaction object based on the multiple dimensions of behavioral information.

[0078] In specific implementation, there are various ways to verify the authenticity of the target transaction object based on multiple dimensions of behavioral information. One way is to verify the authenticity of the target transaction object through the platform registration information of the target transaction object on multiple third-party platforms; another way is to verify the authenticity of the target transaction object through the authenticity of the associated object associated with the target transaction object; and there is also a way to quickly and accurately verify the authenticity of the target transaction object through a machine learning model.

[0079] Specifically, an explanation is given by verifying the authenticity of the target transaction object through the platform registration information of the target transaction object on multiple third-party platforms. The specific implementation method is as follows:

[0080] The act of verifying the authenticity of the target transaction object based on the multiple dimensions of behavioral information includes:

[0081] Analyze the multiple dimensions of behavioral information of the target transaction object to determine the platform registration information of the target transaction object on each third-party platform;

[0082] Verify the authenticity of the target transaction object based on the matching relationship of the platform registration information of the target transaction object on each third-party platform.

[0083] Among them, the platform registration information of the target trading object on each third-party platform includes, but is not limited to, the ID number, contact number, and fund account filled in by the target trading object on each third-party platform, etc.

[0084] For example, if the ID number registered by the target trading object in the trading data on the trading platform is 1111, and the ID numbers in the platform registration information of the target trading object on 100 other third-party platforms are all 1111, it can be shown that the target trading object is a safe and real trading object; while, if the ID number registered by the target trading object in the trading data on the trading platform is 1111, and the ID numbers in the platform registration information of the target trading object on 100 other third-party platforms are all 1100, then it can be determined that the probability of the ID number of the target trading object being 1100 is relatively high. At this time, the ID number 1111 registered by the target trading object on the trading platform can be considered to be at risk, and it can be determined that the target trading object is not real.

[0085] In the embodiments of this specification, by obtaining the platform registration information of each target trading object on multiple other third-party platforms, and comparing the registration information of each target trading object on the trading platform with the platform registration information of multiple other third-party platforms, through the principle of the minority obeying the majority, it can be quickly determined whether the target trading object is a real trading object.

[0086] In addition, the authenticity verification of the target trading object is described by verifying the authenticity of the associated object associated with the target trading object. The specific implementation method is as follows:

[0087] The authenticity verification of the target trading object based on the behavior information of the multiple dimensions includes:

[0088] Analyze the behavior information of multiple dimensions of the target trading object to determine the associated object having an associated relationship with the target trading object;

[0089] Verify the authenticity of the target trading object based on the authenticity information of the associated object.

[0090] Among them, the associated object can be understood as the communication friends of the target trading object, the objects having a transfer relationship, the objects under the same IP address, etc.

[0091] For example, if there are 10 associated objects related to the target transaction object obtained from multiple third-party platforms, and 8 of them have been predicted to be untrue and risky associated objects, then it can be directly determined that the target transaction object is also an untrue transaction object; while if there are 10 associated objects related to the target transaction object obtained from multiple third-party platforms, and 2 of them have been predicted to be untrue and risky associated objects, then it can be directly determined that the target transaction object is a true object.

[0092] In the embodiments of this specification, by obtaining the authenticity of the associated objects related to each target transaction object, it can be quickly determined whether the target transaction object is a true transaction object.

[0093] In addition, a machine learning model is used to illustrate the fast and accurate authenticity verification of the target transaction object. The specific implementation method is as follows:

[0094] The authenticity verification of the target transaction object based on the behavioral information of the multiple dimensions includes:

[0095] Input the behavioral information of the multiple dimensions into a pre-trained classification model to perform authenticity verification on the target transaction object, where the classification model is trained based on the behavioral information of multiple dimensions of historical target transaction objects.

[0096] Specifically, the classification model can be a pre-trained machine learning model. When training this classification model, the behavioral information of multiple dimensions of historical target transaction objects can be used as training samples, and whether the target transaction object is true determined based on the behavioral information of multiple dimensions of the historical target transaction object is used as the sample label; the classification model is trained through the training samples and sample labels.

[0097] In the embodiments of this specification, inputting the behavioral information of multiple dimensions of the target transaction object into a pre-trained classification model can quickly and accurately obtain the authenticity verification result of the target transaction object, improving the user experience.

[0098] In specific implementation, when the type of the transaction object is an enterprise type and there are multiple enterprise representative objects, the authenticity verification results of each enterprise representative object are obtained according to the above method, and then the authenticity verification results of all enterprise representative objects are used as the final authenticity verification result of the target transaction object. For example, still following the principle of the minority obeying the majority, when the majority of the enterprise representative objects are true, it is considered that the authenticity verification result of the target transaction object is true. Otherwise, the authenticity verification result of the target transaction object is untrue.

[0099] That is, the verification method for the target trading object provided in the embodiments of this specification can collect multi-party information of each target trading object through cross-border transactions based on big data, enabling mutual verification among multiple parties. By using the index data of the target trading object obtained from multiple parties to create a profile of the target trading object, so as to depict the relationship between the target trading object and the transaction. Subsequently, the authenticity of the target trading object is determined based on the profiling result, achieving the principle of "hearing both sides leads to clarity".

[0100] In the embodiments of this specification, the verification method for the target trading object obtains the behavioral information of each target trading object in multiple dimensions on multiple other third-party platforms to verify the authenticity of each target trading object, ensuring the accuracy of the authenticity review of each target trading object based on multi-party information and mutual verification among multiple parties.

[0101] Corresponding to the above method embodiments, this specification also provides embodiments of a verification device for target trading objects. Figure 2 FIG. shows a schematic structural diagram of a verification device for a target trading object provided in an embodiment of this specification. As Figure 2 shown, the device includes:

[0102] A trading object determination module 202, configured to obtain at least one piece of transaction data in a transaction database, parse each piece of transaction data in the at least one piece of transaction data, and determine at least one trading object in each piece of transaction data;

[0103] A behavior information determination module 204, configured to determine a target trading object from the at least one trading object based on project requirements, and obtain multi-dimensional behavior information of the target trading object from multiple third-party platforms based on the target trading object;

[0104] A verification module 206, configured to perform authenticity verification on the target trading object based on the multi-dimensional behavior information.

[0105] Optionally, the device further includes:

[0106] A data storage module, configured to receive transaction data sent by at least one project and store the transaction data in the transaction database.

[0107] Optionally, the behavior information determination module 204 is further configured to:

[0108] Determine a payment trading object as the target trading object from the at least one trading object based on project requirements, and obtain multi-dimensional behavior information of the payment trading object from multiple third-party platforms based on the payment trading object.

[0109] Optionally, the behavior information determination module 204 is further configured to:

[0110] When determining a payment trading object from the at least one trading object based on project requirements and determining that the type of the payment trading object is an individual, the payment trading object is determined as the target trading object.

[0111] Optionally, the behavior information determination module 204 is further configured to:

[0112] Determine a payment trading object from the at least one trading object based on project requirements, and when determining that the type of the payment trading object is an enterprise, determine at least one enterprise representative object corresponding to the payment trading object based on the historical registration information of the payment trading object;

[0113] Determine at least one enterprise representative object corresponding to the payment trading object as the target trading object.

[0114] Optionally, the behavior information determination module 204 is further configured to:

[0115] Obtain multi-dimensional behavior information of each enterprise representative object from multiple third-party platforms based on the at least one enterprise representative object.

[0116] Optionally, the behavior information determination module 204 is further configured to:

[0117] Determine a receiving trading object as the target trading object from the at least one trading object based on project requirements, and obtain multi-dimensional behavior information of the receiving trading object from multiple third-party platforms based on the receiving trading object.

[0118] Optionally, the behavior information determination module 204 is further configured to:

[0119] Determine a receiving trading object from the at least one trading object based on project requirements, and when determining that the type of the receiving trading object is an individual, determine the receiving trading object as the target trading object; or

[0120] Determine a receiving trading object from the at least one trading object based on project requirements, and when determining that the type of the receiving trading object is an enterprise, determine at least one enterprise representative object corresponding to the receiving trading object based on the historical registration information of the receiving trading object;

[0121] Determine at least one enterprise representative object corresponding to the receiving trading object as the target trading object.

[0122] Optionally, the behavior information determination module 204 is further configured to:

[0123] Obtain the behavioral information of each enterprise representative object in multiple dimensions from multiple third - party platforms based on the at least one enterprise representative object.

[0124] Optionally, the verification module 206 is further configured to:

[0125] Analyze the behavioral information of the target transaction object in multiple dimensions to determine the platform registration information of the target transaction object on each third - party platform;

[0126] Based on the matching relationship of the platform registration information of the target transaction object on each third - party platform, conduct authenticity verification on the target transaction object.

[0127] Optionally, the verification module 206 is further configured to:

[0128] Analyze the behavioral information of the target transaction object in multiple dimensions to determine the associated objects associated with the target transaction object;

[0129] Based on the authenticity information of the associated objects, conduct authenticity verification on the target transaction object.

[0130] Optionally, the verification module 206 is further configured to:

[0131] Input the behavioral information in multiple dimensions into a pre - trained classification model to conduct authenticity verification on the target transaction object, where the classification model is trained based on the behavioral information in multiple dimensions of historical target transaction objects.

[0132] In the embodiments of this specification, the target transaction object verification device provided verifies the authenticity of each target transaction object by obtaining the behavioral information of each target transaction object in multiple dimensions on multiple other third - party platforms, and ensures the accuracy of the authenticity verification of each target transaction object based on multi - party information and multi - party mutual verification.

[0133] The above is a schematic solution of a target transaction object verification device in this embodiment. It should be noted that the technical solution of this target transaction object verification device and the technical solution of the above - mentioned target transaction object verification method belong to the same concept. For the details not described in the technical solution of the target transaction object verification device, reference can be made to the description of the technical solution of the above - mentioned target transaction object verification method.

[0134] See Figure 3 , Figure 3The structural block diagram of a computing device 300 provided according to an embodiment of this specification is shown. The components of the computing device 300 include, but are not limited to, a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and a database 350 is used to store data.

[0135] The computing device 300 further includes an access device 340, and the access device 340 enables the computing device 300 to communicate via one or more networks 360. Examples of these networks include the Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or a combination of communication networks such as the Internet. The access device 340 may include one or more of any type of wired or wireless network interfaces (e.g., Network Interface Card (NIC)), such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, a Near Field Communication (NFC) interface, and so on.

[0136] In an embodiment of this specification, the above components of the computing device 300 and Figure 3 other components not shown may also be connected to each other, for example, via a bus. It should be understood that Figure 3 the shown structural block diagram of the computing device is only for illustrative purposes and is not a limitation on the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0137] The computing device 300 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or PCs. The computing device 300 can also be a mobile or stationary server.

[0138] Among them, the processor 320 is used to execute the following computer-executable instructions, and when the computer-executable instructions are executed by the processor, the steps of the above-mentioned target transaction object verification method are implemented.

[0139] The above is a schematic solution of a computing device in this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the above-mentioned target transaction object verification method belong to the same concept. For the details not described in the technical solution of the computing device, reference can be made to the description of the technical solution of the above-mentioned target transaction object verification method.

[0140] One embodiment of this specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-described target transaction object verification method.

[0141] The above is a schematic solution of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium and the technical solution of the above-described target transaction object verification method belong to the same concept. For the details not described in the technical solution of the storage medium, reference can be made to the description of the technical solution of the above-described target transaction object verification method.

[0142] One embodiment of this specification further provides a computer program, which, when executed on a computer, causes the computer to execute the steps of the above-described target transaction object verification method.

[0143] The above is a schematic solution of a computer program according to this embodiment. It should be noted that the technical solution of this computer program and the technical solution of the above-described target transaction object verification method belong to the same concept. For the details not described in the technical solution of the computer program, reference can be made to the description of the technical solution of the above-described target transaction object verification method.

[0144] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0145] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0146] It should be noted that, for the foregoing method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the embodiments of this specification are not limited by the described action sequence, because according to the embodiments of this specification, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments of this specification.

[0147] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0148] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The alternative embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, according to the content of the embodiments of this specification, many modifications and changes can be made. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can well understand and utilize this specification. This specification is only limited by the claims and their full scope and equivalents.

Claims

1. A method for verifying a target transaction object, comprising: Obtaining at least one transaction data from a transaction database, parsing each piece of transaction data in the at least one transaction data, and determining at least one transaction object in each piece of transaction data; Determining a target transaction object from the at least one transaction object based on project requirements, and obtaining behavior information of multiple dimensions of the target transaction object from multiple third-party platforms based on the target transaction object, wherein the behavior information of multiple dimensions of the target transaction object includes registration information of the target transaction object on each third-party platform; Verifying the authenticity of the target transaction object based on the behavior information of multiple dimensions, including: verifying the authenticity of the target transaction object through the platform registration information of the target transaction object on multiple third-party platforms, and verifying the authenticity of the target transaction object through the authenticity of an associated object associated with the target transaction object, wherein the associated object includes communication friends of the target transaction object and objects under the same IP address; Wherein, the verifying the authenticity of the target transaction object through the platform registration information of the target transaction object on multiple third-party platforms includes: analyzing the behavior information of multiple dimensions of the target transaction object, determining the platform registration information of the target transaction object on each third-party platform, and verifying the authenticity of the target transaction object based on the matching relationship of the platform registration information of the target transaction object on each third-party platform.

2. The object verification method according to claim 1, wherein the determining a target transaction object from the at least one transaction object based on project requirements, and obtaining behavior information of multiple dimensions of the target transaction object from multiple third-party platforms based on the target transaction object, includes: Determining a payment transaction object as the target transaction object from the at least one transaction object based on project requirements, and obtaining behavior information of multiple dimensions of the payment transaction object from multiple third-party platforms based on the payment transaction object.

3. The object verification method according to claim 2, wherein the determining a payment transaction object as the target transaction object from the at least one transaction object based on project requirements includes: Determining a payment transaction object from the at least one transaction object based on project requirements, and when determining that the type of the payment transaction object is an individual, determining the payment transaction object as the target transaction object.

4. The object verification method according to claim 2, wherein the determining a payment transaction object as the target transaction object from the at least one transaction object based on project requirements includes: Determining a payment transaction object from the at least one transaction object based on project requirements, and when determining that the type of the payment transaction object is an enterprise, determining at least one enterprise representative object corresponding to the payment transaction object based on the historical registration information of the payment transaction object; Determining at least one enterprise representative object corresponding to the payment transaction object as the target transaction object.

5. The object verification method according to claim 4, wherein the obtaining of the behavior information of the payment transaction object in multiple dimensions from multiple third-party platforms based on the payment transaction object includes: Obtaining the behavior information of each enterprise representative object in multiple dimensions from multiple third-party platforms based on the at least one enterprise representative object.

6. The object verification method according to claim 1, wherein the determining of the target transaction object from the at least one transaction object based on the project requirements, and the obtaining of the behavior information of the target transaction object in multiple dimensions from multiple third-party platforms based on the target transaction object includes: Determining the receiving transaction object as the target transaction object from the at least one transaction object based on the project requirements, and obtaining the behavior information of the receiving transaction object in multiple dimensions from multiple third-party platforms based on the receiving transaction object.

7. The object verification method according to claim 6, wherein the determining of the receiving transaction object as the target transaction object from the at least one transaction object based on the project requirements includes: Determining the receiving transaction object from the at least one transaction object based on the project requirements, and when it is determined that the type of the receiving transaction object is an individual, determining the receiving transaction object as the target transaction object; or Determining the receiving transaction object from the at least one transaction object based on the project requirements, and when it is determined that the type of the receiving transaction object is an enterprise, determining at least one enterprise representative object corresponding to the receiving transaction object based on the historical registration information of the receiving transaction object; Determining at least one enterprise representative object corresponding to the receiving transaction object as the target transaction object.

8. The object verification method according to claim 7, wherein the obtaining of the behavior information of the receiving transaction object in multiple dimensions from multiple third-party platforms based on the receiving transaction object includes: Obtaining the behavior information of each enterprise representative object in multiple dimensions from multiple third-party platforms based on the at least one enterprise representative object.

9. A computing device, comprising: A memory and a processor; The memory is used for storing computer-executable instructions, and the processor is used for executing the computer-executable instructions, and when the computer-executable instructions are executed by the processor, the steps of the target transaction object verification method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium, which stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps of the target transaction object verification method according to any one of claims 1 to 8 are implemented.

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