CN111400570A - User group auditing processing method and device - Google Patents
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Abstract
The present specification provides a user group auditing processing method and device, wherein the user group auditing processing method includes: acquiring attribute characteristics and interactive data of a user group; dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users; according to the user roles, adjusting a user relation network constructed based on the interaction data to obtain a role relation network; and performing exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for auditing a user group.
Background
With the rapid development of internet technology, the internet technology has become an indispensable ring in daily life, various services emerge on the network, such as an interactive platform for providing various interactive services to users, and in view of data security, it is often necessary to perform anomaly detection on users of the interactive platform, especially on a group of users organized together in a group or team, so as to avoid the influence of the users or the group of users on the normal interactive services of the interactive platform.
Disclosure of Invention
In view of the above, the present specification provides a user group auditing processing method, a user group auditing processing apparatus, a computing device and a computer-readable storage medium.
In an aspect of an embodiment of the present specification, a method for auditing a user group is provided, including:
acquiring attribute characteristics and interactive data of a user group;
dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users;
according to the user roles, adjusting a user relation network constructed based on the interaction data to obtain a role relation network;
and performing exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
Optionally, the abnormal interaction data is extracted in the following manner:
inputting interactive data of a specific time interval contained in the interactive data into a classifier for classification to obtain a classification label of the interactive data of the specific time interval;
and extracting the interactive data with the classification label as an abnormal label from the interactive data in the specific time interval based on the classification label to serve as the abnormal interactive data.
Optionally, the nodes included in the user relationship network correspond to the users included in the user group one by one, and the connection relationship between the nodes in the user relationship network is determined based on the interaction relationship between the users corresponding to the nodes in the user relationship network.
Optionally, the adjusting, according to the user role, the user relationship network constructed based on the interaction data to obtain the role relationship network includes:
dividing nodes corresponding to users with the same user role in the user relationship network into role groups according to the user roles of the users in the user group;
and establishing the connection relation between the role groups according to the interactive data flow direction between the role groups.
Optionally, in the role relationship network, the connection relationship between nodes in different role groupings is determined according to the interactive data flow direction of the role grouping to which the node belongs so far and the interactive relationship of the user corresponding to the node.
Optionally, the method for auditing and processing by a user group further includes:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after a triggering instruction aiming at any role grouping in the role relationship network displayed on the display page is received, displaying the data classification identification and the data number related to the triggered role grouping in the abnormal interaction data in the data display area.
Optionally, the method for auditing and processing by a user group further includes:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after receiving a selection instruction of at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier in the role relationship network.
Optionally, the method for auditing and processing by a user group further includes:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
after receiving a triggering instruction for any role grouping in the role relationship network displayed on the display page and a selection instruction for at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier for the triggered role grouping according to the data classification identifier and the data number of the triggered role grouping.
Optionally, the dividing roles of the users in the user group based on the attribute features and the interaction data to obtain the user roles of the users includes:
determining an anomaly type for the user group based on the attribute features and the interaction data;
extracting the interaction amount, the interaction object and/or the interaction record of each user in the user group from the attribute characteristics and the interaction data;
and determining the user roles of the users in the user group under the abnormal type based on the interaction amount, the interaction objects and/or the interaction records of the users in the user group.
Optionally, the performing, based on the role relationship network and the abnormal interaction data extracted from the interaction data, an abnormal audit process on the user to obtain an abnormal audit result includes:
determining user abnormal characteristics of the user corresponding to the nodes in the role grouping according to the interactive data flow direction of the role grouping in the role relationship network;
based on the user abnormal characteristics of the user corresponding to the nodes, sequentially determining the role abnormal characteristics of the role groups to which the nodes belong according to the interactive data flow direction;
and generating an abnormal report of the user group as the abnormal auditing result based on the abnormal features of the users and the abnormal features of the roles.
Optionally, the interaction data includes at least one of the following: the user carries out the transaction between the users in the user group to generate transaction data, and the users in the user group carry out the multimedia data generated by data transmission interaction.
In a second aspect of the embodiments of the present specification, there is provided a user group audit processing apparatus, including:
the acquisition module is configured to acquire attribute characteristics and interactive data of the user group;
the dividing module is configured to divide roles of the users in the user group based on the attribute characteristics and the interaction data to obtain the user roles of the users;
the adjusting module is configured to adjust a user relationship network constructed based on the interaction data according to the user roles to obtain a role relationship network;
and the auditing module is configured to perform exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
In a third aspect of embodiments herein, there is provided a computing device comprising:
a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
acquiring attribute characteristics and interactive data of a user group;
dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users;
according to the user roles, adjusting a user relation network constructed based on the interaction data to obtain a role relation network;
and performing exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
In a fourth aspect of the embodiments of the present specification, a computer-readable storage medium is provided, which stores computer instructions, and when the instructions are executed by a processor, the computer-readable storage medium implements the steps of the user group auditing processing method.
The user group auditing processing method starts from the attribute characteristics and the interactive characteristics of a user group, obtains the role relationship network constructed by taking the user role as the core by dividing the role of the users in the user group and correspondingly adjusting the user relationship network on the basis of the role division, extracts abnormal interactive data in the interactive data of the user group and performs abnormal auditing on the user group and the users contained in the user group, thereby realizing more comprehensive abnormal auditing processing on the user group level and more accurate abnormal auditing processing on the user level.
Drawings
Fig. 1 is a processing flow chart of a user group auditing processing method provided by an embodiment of the present specification;
FIG. 2 is a schematic diagram of a user relationship network provided in an embodiment of the present specification;
FIG. 3 is a diagram of a role relationship network provided in an embodiment of the present specification;
FIG. 4 is a schematic diagram of a presentation page provided by an embodiment of the present specification;
fig. 5 is a flowchart of a processing method of a user group auditing processing method applied to a transaction scenario according to an embodiment of the present specification;
fig. 6 is a schematic diagram of a user group auditing processing apparatus provided in an embodiment of the present specification;
fig. 7 is a block diagram of a computing device according to an embodiment of the present specification.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, as those skilled in the art will be able to make and use the present disclosure without departing from the spirit and scope of the present disclosure.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It will be understood that, although the terms first, second, etc. may be used herein in one or more embodiments to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first can also be referred to as a second and, similarly, a second can also be referred to as a first without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
One embodiment of the present specification provides a user group audit processing method, a user group audit processing apparatus, a computing device, and a computer-readable storage medium. The following detailed description and the explanation of the steps of the method are individually made with reference to the drawings of the embodiments provided in the present specification.
An embodiment of a method for auditing a user group provided in this specification is as follows:
referring to fig. 1, a flow chart of a processing method for auditing a user group according to this embodiment is shown, referring to fig. 2, a schematic diagram of a user relationship network according to this embodiment is shown, referring to fig. 3, a schematic diagram of a role relationship network according to this embodiment is shown, referring to fig. 4, a schematic diagram of a presentation page according to this embodiment is shown, referring to fig. 5, a flow chart of a processing method for auditing a user group according to this embodiment is shown, which is applied to a transaction scenario.
Step S102, acquiring attribute characteristics and interactive data of the user group.
The user group auditing method provided by the specification obtains a role relationship network constructed by taking a user role as a core by dividing roles of users in a user group from the user relationship network constructed based on interactive data of the user group and correspondingly adjusting the user relationship network on the basis of the role division on the one hand, and extracts abnormal interactive data from the interactive data of the user group on the other hand, and finally, realizes more comprehensive abnormal auditing processing on the user group level and more accurate abnormal auditing processing on the user level by performing abnormal auditing on the user group and the users contained in the user group based on the abnormal interactive data, the role relationship network and the relationship between the two parties obtained on the two sides.
The user group described in this embodiment refers to a set formed by a plurality of users that need to be audited, and there is an interaction relationship between users that form the user group, and the users in the user group may generate corresponding interaction data in a specific interaction process. The user group may be a transaction user group consisting of one or more transaction users with abnormal transactions, for example, multiple users perform fund transfer-in and transfer-out and other fund transactions on a transaction platform, and the fund transactions performed among the users are recognized as abnormal transactions by the transaction platform, so that the fund transaction data generated by the abnormal transactions performed by the user group consisting of the users is the interaction data. And for example, commodity transactions such as product buying, selling, refunding or goods returning are carried out between a plurality of buyers and sellers on the commodity transaction platform, the commodity transactions are identified as abnormal transactions by the commodity transaction platform, and commodity transaction data generated by abnormal commodity transactions of user groups formed by the users is interaction data.
In addition, the user group may also be a data interaction user group composed of a plurality of users with abnormal data interaction, for example, if the user group is not authorized to propagate data resources such as video resources or book resources through the network, the user group is considered as a user group performing abnormal data resource interaction, and then a data transmission record generated by the users in the user group performing data resource propagation on the network is the interaction data.
The attribute feature of the user group in this embodiment refers to feature information used for characterizing the number of users included in the user group and the user identifier of each user. The interactive data in the user group includes the interactive amount, the interactive object and the interactive record of each user in the user group.
In a specific implementation process, in the process of obtaining the attribute features and the interactive data of the user group, if the user group auditing processing method provided by the embodiment is implemented based on a transaction scenario, the attribute features of the user group can be read from a user database of a transaction platform in the transaction scenario, and the interactive data of the user group can be read from the transaction database of the transaction platform.
And step S104, dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users.
Taking the transaction scenario as an example, for a user group determined to have abnormal transactions, users included in the user group respectively play different roles in the process of performing abnormal transactions. For example, the user group consisting of trading users determined to violate the trading rules of the trading platform has a role of a producer providing the trading commodity, a role of a merchant selling the trading commodity, and a role of a user purchasing the trading commodity.
For another example, the user group is composed of payment users determined to violate the fund transaction rule of the payment platform, and the user group has the role of a common payment user providing a fund source, the role of a fund aggregator collecting the fund of the payment user, the role of a fund circulator transferring or circulating the collected fund, the role of a fund withdrawer transferring and circulating the fund to a bank card for fund withdrawal on the basis of fund transfer and transfer, and the role of a bank card having a binding relationship with the payment user; if the reason for the user group violating the funding transaction rules of the paymate is to induce or attract paymate participation in the group in the manner of a funding game, there may also be a role of a refunder who refunds to paymate during the course of the funding game.
Alternatively, a group of users who are determined to collect funds by an inappropriate means, a role of a collector of an induced user or investor exists among the group of users, a role of the induced user or investor exists, and a role of fund withdrawal in various ways such as fraudulent transactions, money transfers, and the like may exist for funds obtained by the collection.
In a specific implementation, in order to improve the efficiency and accuracy of role division for the users in the user group, in an optional implementation manner provided in this embodiment, based on the attribute features and the interaction data, the roles of the users in the user group are divided to obtain the user roles of the users, and specifically, the following manner is adopted to perform role division for the users in the user group:
determining an anomaly type for the user group based on the attribute features and the interaction data;
extracting the interaction amount, the interaction object and/or the interaction record of each user in the user group from the attribute characteristics and the interaction data;
and determining the user roles of the users in the user group under the abnormal type based on the interaction amount, the interaction objects and/or the interaction records of the users in the user group.
For example, for a user group composed of paying users considered to violate a fund transaction rule of a payment platform, firstly analyzing attribute features of the user group and payment data generated in a payment process, determining that an abnormal type of the user group is the existence or possible existence of a fund game, under the premise that payment data such as a payment object, a payment amount and the like of each user in the user group are extracted and analyzed, determining the role of each user in the user group in the fund game, specifically, in the user group, dividing the user role in the fund game into a fund aggregator, a fund forwarder, a fund withdrawer and a refund, starting from the 4 user roles, and analyzing interaction data of the 4 users to obtain two user roles of the paying user and a bank card;
the fund collector is characterized by having a large amount of Jili digital funds transfer-in and transfer-out and a large amount of whole funds transfer-in and transfer-out, and the relevance degree with a payment user is low; the fund flow person is characterized by frequent transfer of large amount and little account balance; the fund withdrawer is characterized in that a large amount of fund is transferred out to a bank card; the refund is characterized by having the benefit digital fund transfer-in and transfer-out and high association degree with the payment user.
And step S106, according to the user roles, adjusting the user relationship network constructed based on the interactive data to obtain the role relationship network.
The user relationship network in this embodiment refers to an interaction relationship network between users in the user group that is established according to the interaction data of the user group. Optionally, the nodes included in the user relationship network correspond to the users included in the user group one by one, and the connection relationship between the nodes in the user relationship network is determined based on the interaction relationship between the users corresponding to the nodes in the user relationship network.
The user relationship network corresponding to the user group formed by the payment users as shown in fig. 2, where each node corresponds to one payment user, and the connection between the nodes indicates that the payment users corresponding to the interconnected nodes have a payment interaction relationship.
In this embodiment, in the process of adjusting the user relationship network, starting from the user role of the user in the user group, the interaction relationship between the user groups is determined layer by layer according to the abnormal conduction direction of the user role in the interaction process, so as to implement the rapid abnormal audit processing of the user group on this basis, in an optional implementation manner provided in this embodiment, the user relationship network is specifically adjusted in the following manner:
dividing nodes corresponding to users with the same user role in the user relationship network into role groups according to the user roles of the users in the user group;
and establishing the connection relation between the role groups according to the interactive data flow direction between the role groups.
In the role relationship network, the connection relationship among the nodes in different role groups is determined according to the interactive data flow direction of the role group to which the node belongs and the interactive relationship of the user corresponding to the node.
Still taking the user relationship network corresponding to the user group formed by the payment users as an example, according to the user roles obtained after performing role division on each user in the user group formed by the payment users, the nodes in the user relationship network shown in fig. 2 are adjusted according to the user roles, the nodes corresponding to the users of the same user role are adjusted into one role group, and the obtained role relationship diagram is shown in fig. 3.
And S108, performing exception audit processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception audit result.
In practical application, a user group generates a lot of interactive data within a period of time, but only a part of the interactive data is interactive data with abnormal interaction, for example, in the payment data of the user group consisting of the paying users, the payment data generated by executing a fund game against a fund transaction rule of a payment platform only occupies the part of the payment data of the user group, so that in the process of performing abnormal audit on the user group, the part of the interactive data with abnormal interaction (namely, the abnormal interactive data) is extracted from the interactive data of the user group, and the abnormal audit processing is performed on the user group on the basis. In an optional implementation manner provided by this embodiment, the abnormal transaction data is extracted in the following manner:
inputting interactive data of a specific time interval contained in the interactive data into a classifier for classification to obtain a classification label of the interactive data of the specific time interval;
and extracting the interactive data with the classification label as an abnormal label from the interactive data in the specific time interval based on the classification label to serve as the abnormal interactive data.
For example, the classifier is used to classify the payment data of the user group consisting of the payment users within 30 days, specifically, the payment data is classified into the categories of the giley digital fund flow, the large full (hundred, thousand or ten thousand) fund flow, the abnormal quotation fund flow, and the like, and the payment data of each category is labeled with a corresponding category label.
And performing exception auditing processing on the user group on the basis of the determined role relationship network and the exception interaction data extracted from the interaction data, specifically performing exception auditing processing on users in the user group.
In an optional implementation manner provided by this embodiment, the following manner is adopted to perform exception auditing processing on users in the user group:
determining user abnormal characteristics of the user corresponding to the nodes in the role grouping according to the interactive data flow direction of the role grouping in the role relationship network;
based on the user abnormal characteristics of the user corresponding to the nodes, sequentially determining the role abnormal characteristics of the role groups to which the nodes belong according to the interactive data flow direction;
and generating an abnormal report of the user group as the abnormal auditing result based on the abnormal features of the users and the abnormal features of the roles.
For example, in the process of performing exception audit processing on a user group formed by payment users, specifically, performing payment exception audit on each user in a role group in the role relationship network shown in fig. 3, specifically, determining the user exception characteristics of the payment user is as follows: part of the paying users are newly registered users, the paying amount is mostly a whole hundred or nearly a whole ten and a whole hundred, the number of paying strokes is large, frequent transactions still exist in the early morning, and the paying attached words contain common fund game terms such as 'top score' and the like;
the grouping abnormal characteristic of the character grouping of the fund collector is determined as follows: the funding source pays the paying user;
the grouping abnormal characteristic of the character grouping of the fund flow person is determined as follows: frequent large account transfer with little balance;
the grouping anomaly characteristic of the character grouping of the fund withdrawer is as follows: the fund is sent to a bank card for cash withdrawal or is paid to another person account;
the grouping anomaly characteristic of the role grouping of the refund is as follows: payment to the payment user is more, and the coincidence degree of the transaction time and the payment time period of the payment user is high;
and generating an abnormal audit report of the user group based on the data: the report records that the user group is the user group participating in the fund game, and the user abnormal feature and the grouping abnormal feature of the user group judged to participate in the fund game.
In addition, in a specific implementation, in order to more intuitively display an abnormal review process for the user group and enhance the interchangeability and flexibility of the abnormal review process for the user group, in a first optional implementation manner provided in this embodiment, the review processing process for the user group and the interaction with the role group are displayed in a manner that the display page displays the identification information of the role relationship network and the abnormal interaction data, and the following manner is specifically adopted to implement:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after a triggering instruction aiming at any role grouping in the role relationship network displayed on the display page is received, displaying the data classification identification and the data number related to the triggered role grouping in the abnormal interaction data in the data display area.
Similarly, in a second optional implementation manner, the auditing process for the user group and the interaction with the abnormal interaction data are displayed in a manner that the identification information of the role relationship network and the abnormal interaction data is displayed on a display page, and the method is specifically implemented in the following manner:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after receiving a selection instruction of at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier in the role relationship network.
In addition, in a third optional implementation manner, the auditing process for the user group and the interaction with the role group and the abnormal interaction data are presented in a manner of presenting the identification information of the role relationship network and the abnormal interaction data on a presentation page, which is specifically implemented in the following manner:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
after receiving a triggering instruction for any role grouping in the role relationship network displayed on the display page and a selection instruction for at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier for the triggered role grouping according to the data classification identifier and the data number of the triggered role grouping.
For example, in the display page shown in fig. 4, the role relationship network of the payment user group is displayed on the display page, and the classification identifier of the abnormal payment data is displayed in the data display area 401: classification marks of abnormal payment data of the classification of the Jili digital fund flow, the classification marks of abnormal payment data of the classification of the large-amount whole fund flow, the classification marks of abnormal payment data of the classification of the postscript abnormal fund flow and the like;
as shown in fig. 4, the role group of the paying user in the role relationship network is triggered, and the classification identifier corresponding to the classification of the giry digital fund flow, the classification identifier corresponding to the classification of the large full fund flow, and the classification identifier corresponding to the classification of the caption abnormal fund flow displayed in the data display area 401 are selected, the number of the abnormal payment data corresponding to the role group of the paying user is displayed in the data display area 401, and the connection line corresponding to the abnormal payment data corresponding to the role group of the paying user is displayed in the role relationship network in a manner different from other role groups, for example, the connection line corresponding to the abnormal payment data corresponding to the role group of the paying user is displayed in a manner of being thickened, highlighted, or rendered into other colors, and the display effect is shown in fig. 4.
The following describes the user group auditing processing method provided in this embodiment by taking an application of the user group auditing processing method provided in this embodiment in a transaction scenario as an example, with reference to fig. 5. Referring to fig. 5, the user group auditing processing method applied to the transaction scenario specifically includes steps S502 to S514.
Step S502, acquiring attribute characteristics and transaction data of a user group formed by transaction users.
The user group refers to a transaction user group consisting of a plurality of transaction users with abnormal transactions, for example, commodity transactions such as product buying, selling, refunding or goods returning are performed between a plurality of buyers and sellers on a commodity transaction platform, and if the commodity transactions are identified as abnormal transactions by the commodity transaction platform, commodity transaction data generated when the user group consisting of the transaction users performs abnormal commodity transactions is transaction data.
Specifically, the attribute characteristics of the user group are read from the user database of the trading platform in the trading scene, and the trading data of the user group is read from the trading database of the trading platform.
Step S504, based on the attribute characteristics and the transaction data, the transaction users in the user group are divided into roles, and the user roles of the transaction users are obtained.
In the transaction scenario, for a user group determined to have abnormal transactions, the transaction users included in the user group respectively play different roles in the process of performing the abnormal transactions. For example, the user group consisting of trading users determined to violate the trading rules of the trading platform has a role of a producer providing the trading commodity, a role of a merchant selling the trading commodity, and a role of a user purchasing the trading commodity.
Specifically, in order to improve the efficiency and accuracy of role division of trading users in a user group, the following method is adopted to divide roles of the trading users in the user group:
determining an anomaly type of the user group based on the attribute features and the transaction data;
extracting transaction amount, transaction object and transaction record of each transaction user in the user group from the attribute characteristics and the transaction data;
and determining the user roles of the transaction users in the user group under the abnormal type based on the transaction amount, the transaction object and the transaction record of the transaction users in the user group.
Step S506, inputting the transaction data in the specific time interval included in the transaction data into a classifier for classification, and obtaining a classification label of the transaction data in the specific time interval.
Step S508, based on the classification label, extracting the transaction data with the classification label as an abnormal label from the transaction data in the specific time interval, as abnormal transaction data.
Step S510, according to the user roles of the trading users in the user group, dividing the nodes corresponding to the trading users with the same user role in the user relationship network into role groups.
The user relation network is a transaction relation network between transaction users in the user group established according to the transaction data of the user group. The nodes contained in the user relation network correspond to the transaction users contained in the user group one by one, and the connection relation among the nodes in the user relation network is determined based on the transaction relation among the transaction users corresponding to the nodes in the user relation network.
Step S512, according to the transaction data flow direction between the role groups, the connection relationship between the role groups is established.
And step S514, performing exception audit processing on the transaction user based on the role relationship network and the exception transaction data to obtain an exception audit result.
Here, the following method is adopted to perform exception auditing processing on transaction users in the user group:
determining user abnormal characteristics of transaction users corresponding to nodes in the role grouping according to the transaction data flow direction of the role grouping in the role relationship network;
based on the user abnormal characteristics of the node corresponding to the transaction user, sequentially determining the role abnormal characteristics of the role groups to which the node belongs according to the transaction data flow direction;
and generating an abnormal report of the user group as an abnormal auditing result based on the abnormal characteristics of the users and the abnormal characteristics of the roles.
To sum up, the user group audit processing method provided in this specification starts from the attribute features and the interaction features of the user group, obtains the role relationship network constructed with the user role as the core by performing role division on the users in the user group and performing corresponding adjustment on the user relationship network on the basis of the role division, extracts abnormal interaction data in the interaction data of the user group, and performs abnormal audit on the users included in the user group and the user group, thereby implementing more comprehensive abnormal audit processing at the user group level and implementing more accurate abnormal audit processing at the user level.
An embodiment of a user group auditing processing apparatus provided in this specification is as follows:
in the foregoing embodiment, a user group auditing processing method is provided, and correspondingly, a user group auditing processing apparatus is also provided, which is described below with reference to the accompanying drawings.
Referring to fig. 6, a schematic diagram of a user group auditing processing device according to this embodiment is shown.
Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.
This specification provides a user group audit processing apparatus, including:
an obtaining module 602 configured to obtain attribute features and interactive data of a user group;
a dividing module 604, configured to perform role division on users in the user group based on the attribute features and the interaction data, so as to obtain user roles of the users;
an adjusting module 606 configured to adjust a user relationship network constructed based on the interaction data according to the user role, so as to obtain a role relationship network;
the auditing module 608 is configured to perform exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data, so as to obtain an exception auditing result.
Optionally, the abnormal interaction data is extracted by operating the following modules:
the classification module is configured to input interactive data of a specific time interval contained in the interactive data into a classifier for classification, and obtain a classification label of the interactive data of the specific time interval;
and the extracting module is configured to extract the interactive data of which the classification labels are abnormal labels from the interactive data of the specific time interval as the abnormal interactive data based on the classification labels.
Optionally, the nodes included in the user relationship network correspond to the users included in the user group one by one, and the connection relationship between the nodes in the user relationship network is determined based on the interaction relationship between the users corresponding to the nodes in the user relationship network.
Optionally, the adjusting module 606 includes:
the dividing submodule is configured to divide nodes corresponding to users with the same user role in the user relationship network into role groups according to the user roles of the users in the user group;
and the connection sub-module is configured to establish the connection relation between the role groups according to the interactive data flow direction between the role groups.
Optionally, in the role relationship network, the connection relationship between nodes in different role groupings is determined according to the interactive data flow direction of the role grouping to which the node belongs so far and the interactive relationship of the user corresponding to the node.
Optionally, the apparatus for processing user group audit further includes:
the first page display module is configured to display the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and the data display module is configured to display the data classification identification and the data number related to the triggered role grouping in the abnormal interaction data in the data display area after receiving a triggering instruction for any role grouping in the role relationship network displayed on the display page.
Optionally, the apparatus for processing user group audit further includes:
the second page display module is configured to display the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and the connecting line display module is configured to display a connecting line corresponding to abnormal data corresponding to the selected data classification identifier in the role relationship network after receiving a selection instruction of at least one data classification identifier displayed in the data display area.
Optionally, the apparatus for processing user group audit further includes:
the third page display module is configured to display the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and the data connecting line module is configured to display a connecting line corresponding to abnormal data corresponding to the selected data classification identifier for the triggered role group according to the data classification identifier and the data number of the triggered role group after receiving a triggering instruction for any role group in the role relationship network displayed on the display page and a selecting instruction for at least one data classification identifier displayed in the data display area.
Optionally, the dividing module 604 includes:
an anomaly type determination submodule configured to determine an anomaly type of the user group based on the attribute features and the interaction data;
the data extraction sub-module is configured to extract the interaction amount, the interaction object and/or the interaction record of each user in the user group from the attribute characteristics and the interaction data;
and the user role determination submodule is configured to determine the user roles of the users in the user group under the abnormal type based on the interaction amount, the interaction object and/or the interaction record of the users in the user group.
Optionally, the auditing module 608 includes:
the user abnormal characteristic determining submodule is configured to determine the user abnormal characteristics of the user corresponding to the nodes in the role grouping according to the interactive data flow direction of the role grouping in the role relationship network;
the role abnormal characteristic determining submodule is configured to sequentially determine role abnormal characteristics of role groups to which the nodes belong according to the interactive data flow direction on the basis of the user abnormal characteristics of the users corresponding to the nodes;
and the abnormal report generation sub-module is configured to generate an abnormal report of the user group as the abnormal auditing result based on the user abnormal characteristics and the role abnormal characteristics.
Optionally, the interaction data includes at least one of the following: the user carries out the transaction between the users in the user group to generate transaction data, and the users in the user group carry out the multimedia data generated by data transmission interaction.
The present specification provides an embodiment of a computing device as follows:
FIG. 7 is a block diagram illustrating a configuration of a computing device 700 provided according to one embodiment of the present description. The components of the computing device 700 include, but are not limited to, memory 710 and a processor 720. Processor 720 is coupled to memory 710 via bus 730, and database 750 is used to store data.
The computing device 700 also includes AN access device 740, the access device 740 enabling the computing device 700 to communicate via one or more networks 760, examples of which include a Public Switched Telephone Network (PSTN), a local area network (L AN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the Internet the access device 740 may include one or more of any type of network interface, e.g., a Network Interface Card (NIC), wired or wireless, such as AN IEEE802.11 wireless local area network (W L AN) wireless interface, a Global microwave Internet 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 forth.
In one embodiment of the present description, the above-described components of computing device 700, as well as other components not shown in FIG. 7, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device architecture shown in FIG. 7 is for purposes of example only and is not limiting as to the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 700 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smartphone), wearable computing device (e.g., smartwatch, smartglasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 700 may also be a mobile or stationary server.
The present specification provides a computing device comprising a memory 710, a processor 720, and computer instructions stored on the memory and executable on the processor, the processor 720 for executing the computer executable instructions of:
acquiring attribute characteristics and interactive data of a user group;
dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users;
according to the user roles, adjusting a user relation network constructed based on the interaction data to obtain a role relation network;
and performing exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
Optionally, the abnormal interaction data is extracted in the following manner:
inputting interactive data of a specific time interval contained in the interactive data into a classifier for classification to obtain a classification label of the interactive data of the specific time interval;
and extracting the interactive data with the classification label as an abnormal label from the interactive data in the specific time interval based on the classification label to serve as the abnormal interactive data.
Optionally, the nodes included in the user relationship network correspond to the users included in the user group one by one, and the connection relationship between the nodes in the user relationship network is determined based on the interaction relationship between the users corresponding to the nodes in the user relationship network.
Optionally, the adjusting, according to the user role, the user relationship network constructed based on the interaction data to obtain the role relationship network includes:
dividing nodes corresponding to users with the same user role in the user relationship network into role groups according to the user roles of the users in the user group;
and establishing the connection relation between the role groups according to the interactive data flow direction between the role groups.
Optionally, in the role relationship network, the connection relationship between nodes in different role groupings is determined according to the interactive data flow direction of the role grouping to which the node belongs so far and the interactive relationship of the user corresponding to the node.
Optionally, the processor 720 is further configured to execute the following computer-executable instructions:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after a triggering instruction aiming at any role grouping in the role relationship network displayed on the display page is received, displaying the data classification identification and the data number related to the triggered role grouping in the abnormal interaction data in the data display area.
Optionally, the processor 720 is further configured to execute the following computer-executable instructions:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after receiving a selection instruction of at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier in the role relationship network.
Optionally, the processor 720 is further configured to execute the following computer-executable instructions:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
after receiving a triggering instruction for any role grouping in the role relationship network displayed on the display page and a selection instruction for at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier for the triggered role grouping according to the data classification identifier and the data number of the triggered role grouping.
Optionally, the dividing roles of the users in the user group based on the attribute features and the interaction data to obtain the user roles of the users includes:
determining an anomaly type for the user group based on the attribute features and the interaction data;
extracting the interaction amount, the interaction object and/or the interaction record of each user in the user group from the attribute characteristics and the interaction data;
and determining the user roles of the users in the user group under the abnormal type based on the interaction amount, the interaction objects and/or the interaction records of the users in the user group.
Optionally, the performing, based on the role relationship network and the abnormal interaction data extracted from the interaction data, an abnormal audit process on the user to obtain an abnormal audit result includes:
determining user abnormal characteristics of the user corresponding to the nodes in the role grouping according to the interactive data flow direction of the role grouping in the role relationship network;
based on the user abnormal characteristics of the user corresponding to the nodes, sequentially determining the role abnormal characteristics of the role groups to which the nodes belong according to the interactive data flow direction;
and generating an abnormal report of the user group as the abnormal auditing result based on the abnormal features of the users and the abnormal features of the roles.
Optionally, the interaction data includes at least one of the following: the user carries out the transaction between the users in the user group to generate transaction data, and the users in the user group carry out the multimedia data generated by data transmission interaction.
This specification provides one example of a computer-readable storage medium, comprising:
one embodiment of the present specification provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the steps of the user group audit processing method.
The above is an illustrative scheme of a computer-readable storage medium of the present embodiment. It should be noted that the technical solution of the storage medium and the technical solution of the user group auditing processing method belong to the same concept, and for details that are not described in detail in the technical solution of the storage medium, reference may be made to the description of the technical solution of the user group auditing processing method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following 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 desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The computer instructions comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, or the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts, but those skilled in the art should understand that the present embodiment is not limited by the described acts, because some steps may be performed in other sequences or simultaneously according to the present embodiment. Further, those skilled in the art should also appreciate that the embodiments described in this specification are preferred embodiments and that acts and modules referred to are not necessarily required for an embodiment of the specification.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are intended only to aid in the description of the specification. Alternative embodiments are not exhaustive and do not limit the invention to the precise embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the embodiments. The specification is limited only by the claims and their full scope and equivalents.
Claims (14)
1. A user group auditing processing method comprises the following steps:
acquiring attribute characteristics and interactive data of a user group;
dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users;
according to the user roles, adjusting a user relation network constructed based on the interaction data to obtain a role relation network;
and performing exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
2. A user group audit processing method according to claim 1 wherein the abnormal interaction data is extracted in the following way:
inputting interactive data of a specific time interval contained in the interactive data into a classifier for classification to obtain a classification label of the interactive data of the specific time interval;
and extracting the interactive data with the classification label as an abnormal label from the interactive data in the specific time interval based on the classification label to serve as the abnormal interactive data.
3. A user group auditing processing method according to claim 1, in which nodes included in the user relationship network correspond one-to-one to users included in the user group, and the connection relationship between the nodes in the user relationship network is determined based on the interaction relationship between the users corresponding to the nodes in the user relationship network.
4. The method for auditing processing of a user group according to claim 3, where adjusting the user relationship network constructed based on the interaction data in accordance with the user role to obtain a role relationship network comprises:
dividing nodes corresponding to users with the same user role in the user relationship network into role groups according to the user roles of the users in the user group;
and establishing the connection relation between the role groups according to the interactive data flow direction between the role groups.
5. A method for auditing processing of a user group according to claim 4, in the role relationship network, the connection relationship between nodes in different role groupings is determined according to the interactive data flow direction of the role grouping to which the node belongs so far and the interactive relationship of the user corresponding to the node.
6. The user group audit processing method according to claim 5 further including:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after a triggering instruction aiming at any role grouping in the role relationship network displayed on the display page is received, displaying the data classification identification and the data number related to the triggered role grouping in the abnormal interaction data in the data display area.
7. The user group audit processing method according to claim 5 further including:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
and after receiving a selection instruction of at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier in the role relationship network.
8. The user group audit processing method according to claim 5 further including:
displaying the identification information of the role relationship network and the abnormal interaction data based on a display page; the abnormal transaction data is displayed in a mode of displaying corresponding identification information in a data display area of the display page;
after receiving a triggering instruction for any role grouping in the role relationship network displayed on the display page and a selection instruction for at least one data classification identifier displayed in the data display area, displaying a connecting line corresponding to abnormal data corresponding to the selected data classification identifier for the triggered role grouping according to the data classification identifier and the data number of the triggered role grouping.
9. The method for auditing processing of a user group according to claim 1, where dividing the roles of users in the user group based on the attribute features and the interaction data to obtain the user roles of the users includes:
determining an anomaly type for the user group based on the attribute features and the interaction data;
extracting the interaction amount, the interaction object and/or the interaction record of each user in the user group from the attribute characteristics and the interaction data;
and determining the user roles of the users in the user group under the abnormal type based on the interaction amount, the interaction objects and/or the interaction records of the users in the user group.
10. The method for auditing and processing of a user group according to claim 1, where the performing exception audit processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception audit result includes:
determining user abnormal characteristics of the user corresponding to the nodes in the role grouping according to the interactive data flow direction of the role grouping in the role relationship network;
based on the user abnormal characteristics of the user corresponding to the nodes, sequentially determining the role abnormal characteristics of the role groups to which the nodes belong according to the interactive data flow direction;
and generating an abnormal report of the user group as the abnormal auditing result based on the abnormal features of the users and the abnormal features of the roles.
11. The user group review processing method of claim 1, the interaction data including at least one of:
the user carries out the transaction between the users in the user group to generate transaction data, and the users in the user group carry out the multimedia data generated by data transmission interaction.
12. A user group audit processing apparatus comprising:
the acquisition module is configured to acquire attribute characteristics and interactive data of the user group;
the dividing module is configured to divide roles of the users in the user group based on the attribute characteristics and the interaction data to obtain the user roles of the users;
the adjusting module is configured to adjust a user relationship network constructed based on the interaction data according to the user roles to obtain a role relationship network;
and the auditing module is configured to perform exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
13. A computing device, comprising:
a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
acquiring attribute characteristics and interactive data of a user group;
dividing the roles of the users in the user group based on the attribute characteristics and the interactive data to obtain the user roles of the users;
according to the user roles, adjusting a user relation network constructed based on the interaction data to obtain a role relation network;
and performing exception auditing processing on the user based on the role relationship network and the exception interaction data extracted from the interaction data to obtain an exception auditing result.
14. A computer readable storage medium storing computer instructions which, when executed by a processor, carry out the steps of the user group audit processing method of any one of claims 1 to 11.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169768A (en) * | 2016-03-07 | 2017-09-15 | 阿里巴巴集团控股有限公司 | The acquisition methods and device of abnormal transaction data |
| US20180052835A1 (en) * | 2016-08-18 | 2018-02-22 | Rockwell Automation Technologies, Inc. | Multimodal search input for an industrial search platform |
| US20180174060A1 (en) * | 2016-12-21 | 2018-06-21 | Ca, Inc. | Predictive graph selection |
| CN108197224A (en) * | 2017-12-28 | 2018-06-22 | 广州虎牙信息科技有限公司 | User group sorting technique, storage medium and terminal |
| CN108295476A (en) * | 2018-03-06 | 2018-07-20 | 网易（杭州）网络有限公司 | The method and apparatus for determining abnormal interactive account |
| US10127511B1 (en) * | 2017-09-22 | 2018-11-13 | 1Nteger, Llc | Systems and methods for investigating and evaluating financial crime and sanctions-related risks |
| US20180330377A1 (en) * | 2017-05-11 | 2018-11-15 | Ca, Inc. | Emitter recognition and sequencing for risk analytics |
| US10542384B1 (en) * | 2018-12-27 | 2020-01-21 | Paypal, Inc. | Efficient risk model computations |
-
2020
- 2020-04-17 CN CN202010306676.9A patent/CN111400570B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169768A (en) * | 2016-03-07 | 2017-09-15 | 阿里巴巴集团控股有限公司 | The acquisition methods and device of abnormal transaction data |
| US20180052835A1 (en) * | 2016-08-18 | 2018-02-22 | Rockwell Automation Technologies, Inc. | Multimodal search input for an industrial search platform |
| US20180174060A1 (en) * | 2016-12-21 | 2018-06-21 | Ca, Inc. | Predictive graph selection |
| US20180330377A1 (en) * | 2017-05-11 | 2018-11-15 | Ca, Inc. | Emitter recognition and sequencing for risk analytics |
| US10127511B1 (en) * | 2017-09-22 | 2018-11-13 | 1Nteger, Llc | Systems and methods for investigating and evaluating financial crime and sanctions-related risks |
| CN108197224A (en) * | 2017-12-28 | 2018-06-22 | 广州虎牙信息科技有限公司 | User group sorting technique, storage medium and terminal |
| CN108295476A (en) * | 2018-03-06 | 2018-07-20 | 网易（杭州）网络有限公司 | The method and apparatus for determining abnormal interactive account |
| US10542384B1 (en) * | 2018-12-27 | 2020-01-21 | Paypal, Inc. | Efficient risk model computations |
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