CN116186410A - Data display method and device based on SaaS platform, electronic equipment and medium - Google Patents

Data display method and device based on SaaS platform, electronic equipment and medium Download PDF

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CN116186410A
CN116186410A CN202310208102.1A CN202310208102A CN116186410A CN 116186410 A CN116186410 A CN 116186410A CN 202310208102 A CN202310208102 A CN 202310208102A CN 116186410 A CN116186410 A CN 116186410A
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陈翔
王建文
杨立锐
杨楷
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Shanxi Fangshi Technology Co ltd
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Abstract

The application relates to the technical field of automated processing, in particular to a data display method, a device, electronic equipment and a medium based on a SaaS platform, wherein the method comprises the following steps: acquiring target enterprise information, determining the information type of the target enterprise information, determining the window position corresponding to the information type in the preset screen capturing position, performing risk assessment on the target enterprise according to the comparison information at the window position to obtain risk coefficients, and generating assessment information according to the risk coefficients and the comparison information. By the method, when the government reviews the enterprise units, the related information of the enterprise units can be acquired from multiple channels, so that the management efficiency of the government on the enterprise units is improved.

Description

Data display method and device based on SaaS platform, electronic equipment and medium
Technical Field
The application relates to the technical field of automated processing, in particular to a data display method and device based on a SaaS platform, electronic equipment and a medium.
Background
SaaS (software as a service) is called as "software as a service", and when in use, a user can enjoy the corresponding service on line without downloading specified software, so that the burden brought by the environment required by installing and running the service is reduced, and meanwhile, because the SaaS has two deployment modes of public cloud deployment and private cloud deployment, two different standardized and customized software services are respectively provided, and the user can select the SaaS according to own requirements.
When government units process government affair scenes such as evaluation, drawing and the like of enterprises, the government units need to acquire data of the corresponding enterprises in different modes due to different modes adopted when the government units manage the enterprise information and different management requirements of the government units, and the problem that the enterprises are difficult to quickly make decisions caused by the complicated information types exists in the process of acquiring the enterprise data and subsequent decision analysis by the government units.
Disclosure of Invention
The application aims to provide a data display method and device based on a SaaS platform, electronic equipment and medium, which are used for solving at least one technical problem.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, the present application provides a data display method of a SaaS platform, which adopts the following technical scheme:
a data display method based on a SaaS platform comprises the following steps:
acquiring target enterprise information, wherein the target enterprise information is enterprise information uploaded by a target enterprise on a SaaS platform;
determining the information type of the target enterprise information, wherein the information type is an information element reflected by the enterprise information;
Determining a corresponding window position of the information type in a preset screen capturing position, wherein the window position is a web window position corresponding to enterprise information of the target enterprise in a web page;
performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient, wherein the risk coefficient is used for reflecting a risk level corresponding to the information element;
and generating evaluation information according to the risk coefficient and the comparison information.
In another possible implementation manner, the determining the window position corresponding to the information type in the preset screen capturing position further includes:
determining the association degree of the information type and the information type in the preset screen capturing position;
and if the association degree is larger than a preset association threshold value, determining the window position according to the information type in the preset screen capturing position.
In another possible implementation manner, the performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient further includes:
determining window information corresponding to the window position, wherein the window information is corresponding information of the window position on the web page;
Determining keywords associated with the information type in the window information by carrying out semantic analysis on the window information;
determining whether the key word is an object pointed by a chain source;
if yes, determining the comparison information according to the target position pointed by the keyword;
and if not, taking the keyword as the comparison information.
In another possible implementation manner, the performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient includes:
generating an enterprise portrait of the target enterprise according to the comparison information;
determining target information corresponding to the information type in the enterprise portrait;
and performing risk assessment on the target enterprise according to the target information to obtain a risk coefficient of the target enterprise.
In another possible implementation manner, the generating evaluation information according to the risk coefficient and the comparison information further includes:
determining a key for encrypting the evaluation information according to the risk coefficient and a preset key standard;
and encrypting the evaluation information according to the key to obtain encryption information.
In another possible implementation, the method further includes:
Judging whether the account number type of the login account is a preset account number type, if so, distributing the encrypted information to the login account number, wherein the login account number is a login account number of a user on a SaaS platform;
determining whether the data viewing authority corresponding to the login account meets the data viewing authority corresponding to the risk coefficient in the preset key standard or not;
if yes, distributing the secret key and the encryption information to the login account;
and marking the login account.
In another possible implementation manner, the encrypting the evaluation information according to the key, to obtain encrypted information, and then further includes:
determining whether the login account is marked;
if yes, determining the visualization type of the evaluation information corresponding to the login account in a preset visualization standard according to the risk coefficient.
In a second aspect, the present application provides a data display device based on a SaaS platform, which adopts the following technical scheme:
the enterprise information acquisition module is used for acquiring target enterprise information, wherein the target enterprise information is the enterprise information uploaded by a target enterprise on the SaaS platform;
the information type determining module is used for determining the information type of the target enterprise information, wherein the information type is an information element reflected by the enterprise information;
A window position determining module, configured to determine a window position corresponding to the information type in a preset screen capturing position, where the window position is a web window position corresponding to enterprise information of the target enterprise in a web page;
the risk assessment module is used for carrying out risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient, and the risk coefficient is used for reflecting a risk level corresponding to the information element;
and the evaluation information generation module is used for generating evaluation information according to the risk coefficient and the comparison information.
In another possible implementation, the apparatus further includes: module for determining association degree and module for determining window position
The association degree determining module is used for determining association degree of the information type and the information type in the preset screen capturing position;
the window position determining module is used for determining the window position according to the information type in the preset screen capturing position.
In another possible implementation, the apparatus further includes: a window information determining module, a keyword determining module, a ripple source determining object determining module, a primary information determining module and a secondary information determining module, wherein,
The window information determining module is used for determining window information corresponding to the window position, wherein the window information is corresponding information of the window position on the web page;
the keyword determining module is used for determining keywords associated with the information type in the window information through semantic analysis of the window information;
the ripple source determining object module is used for determining whether the keyword is an object pointed by a chain source or not;
the first-level determination information module is used for determining the comparison information according to the target position pointed by the keyword;
and the secondary determining information module is used for taking the keywords as the comparison information.
In another possible implementation manner, when the risk assessment risk coefficient module performs risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient, the risk coefficient module is specifically configured to:
generating an enterprise portrait of the target enterprise according to the comparison information;
determining target information corresponding to the information type in the enterprise portrait;
and performing risk assessment on the target enterprise according to the target information to obtain a risk coefficient of the target enterprise.
In another possible implementation, the apparatus further includes: a key module and an encryption information module are determined, wherein,
the key determining module is used for determining a key for encrypting the evaluation information according to the risk coefficient and a preset key standard;
and the encryption information module is used for encrypting the evaluation information according to the secret key to obtain encryption information.
In another possible implementation, the apparatus further includes: a judging type module, a permission determining module, an account allocation module and a marked account module, wherein,
the judging type module is used for judging whether the account type of the login account is a preset account type, if so, distributing the encrypted information to the login account, wherein the login account is a login account of a user on a SaaS platform;
the permission determining module is configured to determine whether a data viewing permission corresponding to the login account meets a data viewing permission corresponding to the risk coefficient in the preset key standard;
the account distribution module is used for distributing the secret key and the encryption information to the login account;
and the marking account module is used for marking the login account.
In another possible implementation, the apparatus further includes: a determining marking module and a determining type module, wherein,
the determining and marking module is used for determining whether the login account is marked;
the determining type module is used for determining the visual type of the evaluation information corresponding to the login account in a preset visual standard according to the risk coefficient.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: and executing the data display method based on the SaaS platform.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the SaaS platform based data presentation method described above.
In summary, the present application includes at least one of the following beneficial technical effects: compared with the related art, in the method, the device, the electronic equipment and the medium for displaying the data, the enterprise information uploaded by the SaaS platform by the target enterprise is obtained to serve as target enterprise information, the window position corresponding to the information type of the target enterprise information in the preset screen capturing position is determined, the information corresponding to the window position is taken as comparison information, namely, the webpage content corresponding to the window position on the webpage is taken as comparison information, so that the enterprise information of the target enterprise is conveniently obtained from multiple channels, meanwhile, the risk coefficient obtained by carrying out risk assessment on the target enterprise according to the comparison information can more accurately reflect the real situation of the target enterprise, finally, evaluation information is generated according to the comparison information obtained from multiple channels and the risk coefficient corresponding to the comparison information, so that the government units can review the target enterprise units, the management efficiency of the government units is improved, and the business processing process is facilitated.
Drawings
Fig. 1 is a flow chart of a data display method based on a SaaS platform according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a data display device based on a SaaS platform according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a data display electronic device based on a SaaS platform according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below in conjunction with fig. 1-3.
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as required, but is protected by patent laws within the scope of the present application.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides a data display method based on a SaaS platform, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein, and as shown in fig. 1, the method may specifically include step S11, step S12, step S13, step S14, and step S15, where:
Step S11, obtaining target enterprise information.
The target enterprise information is enterprise information uploaded by a target enterprise on the SaaS platform, and the target enterprise is any enterprise unit accessed to the SaaS platform.
For the embodiment of the application, the enterprise name of the target enterprise is set as a screening condition, and the enterprise information stored on the SaaS platform is screened according to the screening condition to obtain the target enterprise information.
Step S12, determining the information type of the target enterprise information.
The information types are information types corresponding to different information in the target enterprise information, for example, if the target enterprise information is the annual financial tax report detail, the corresponding information types are asset conditions; if the target enterprise information is the annual loan statement details, the corresponding information type is the loan condition.
For the embodiment of the application, the storage tag of the target enterprise information is used as the information type corresponding to the target enterprise information. For example, the target enterprise information is a one-dimensional array: company A-2000 loans 1.2 hundred million in the first quarter, the storage label is loan information, and the information type of the target enterprise information is loan information.
Step S13, determining the corresponding window position of the information type in the preset screen capturing position.
The preset screen capturing position is a corresponding standard between the information type and the window position, and the window position is a web window position corresponding to enterprise information of a target enterprise in a web page, namely, the window position corresponding to the enterprise information in web pages of different government departments, namely, in different government officials.
For the embodiment of the application, the information type is compared with the information type in the preset screen capturing position, and the window position corresponding to the successfully compared information type in the preset screen capturing position is obtained.
And S14, performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient.
The risk coefficient is used for reflecting the risk level corresponding to the information element, and is in direct proportion to the risk level, namely, the larger the risk coefficient is, the higher the risk level is, and the higher the risk of the corresponding target enterprise is.
For the embodiment of the application, the information located at the window position on the web page is used as comparison information, the comparison information is subjected to semantic analysis through a deep semantic analysis algorithm DSSM (Deep Structured Semantic Model, namely a deep semantic algorithm), the comparison information is firstly used as a query to be input into an input layer of the DSSM, target enterprise information is used as doc to be input into the input layer of the DSSM as well, then the information corresponding to the doc and the query is subjected to feature extraction through a feature extraction layer to obtain semantic vectors corresponding to the doc and the query respectively, a matching score between the semantic vectors is determined through a matching layer, and the comparison information with the same semantic features as the target enterprise information is reserved. For example, the target enterprise information includes: company a-high new business, then the comparison information with the same semantic features as "company a" or "high new business" is retained. Before semantic analysis is performed on the comparison information through the DSSM model, search information input on a search engine of a historical web page is used as a query, information clicked for the first time after corresponding search is used as a sample doc, the corresponding relation between the search information corresponding to the query and click information corresponding to the doc is determined through click conditions on the historical web page, and a training set and a testing set of the DSSM model are constructed according to the corresponding relation between the search information and the click information, namely, the training set and the testing set of the DSSM are constructed through click logs on the web page. Training the DSSM model through the obtained training set and test set, and optimizing parameters of each network layer in the DSSM model to obtain the DSSM model with successful training.
And inputting the comparison information into a risk assessment model to assess the risk coefficient of the target enterprise. Among the risk assessment models that may be employed are, but are not limited to, enterprise turnover prediction models for assessing business risk and micro-credit assessment models for assessing credit risk.
Specifically, when the semantic analysis model used in this step is selected, because the comparison information in this application is located in the web window on the web page, and the application scenario of the technical scheme in this application is: when obtaining the comparison information associated with the target enterprise information on the web page, namely when the web window on the web page is opened, the comparison information should appear on the corresponding web page in the form of sentences or articles, so that the semantic analysis model adopted by the technical scheme in the application should be a sentence-level semantic analysis model or a chapter-level semantic analysis model, such as a DSSM model or an implicit Dirichlet distribution (LDA) model.
The usage scene of the shallow semantic analysis model included in the sentence-level semantic analysis model is different from the usage scene of the semantic analysis of the comparison information in the application, and meanwhile, for the purpose of simplifying and clarifying the technical scheme in the application, the description of the semantic analysis process of the comparison information on the web page is developed through the deep semantic analysis model included in the sentence-level semantic analysis model in the embodiment of the application. In actually selecting a specific model/algorithm for semantic analysis, the specific model/algorithm used may be adjusted according to the actual situation, including but not limited to the DSSM model described in the embodiments of the present application.
And S15, generating evaluation information according to the risk coefficient and the comparison information.
For the embodiment of the application, the risk coefficient of the target enterprise and the comparison information for analyzing the risk coefficient are correspondingly integrated, and the integrated result is used as evaluation information.
In the embodiment of the application, the enterprise information uploaded by the target enterprise on the SaaS platform is obtained as target enterprise information, the window position corresponding to the information type of the target enterprise information in the preset screen capturing position is determined, the information corresponding to the window position is taken as comparison information, namely, the webpage content corresponding to the window position on the webpage is taken as comparison information, so that the enterprise information of the target enterprise can be conveniently obtained from multiple channels, meanwhile, the risk coefficient obtained by carrying out risk assessment on the target enterprise according to the comparison information can more accurately reflect the real situation of the target enterprise, and finally, evaluation information is generated according to the comparison information obtained from multiple channels and the risk coefficient corresponding to the comparison information so as to be used for government units to review target enterprise units.
In another possible implementation manner of the embodiment of the present application, before step S13, the method may further include: step S113 (not shown in the figure) and step S213 (not shown in the figure), wherein,
Step S113, determining the association degree of the information type and the information type in the preset screen capturing position.
For the embodiment of the application, the information type determined by the target enterprise information is used as a query in a DDSM model input layer, the information type in the preset screen capturing position is used as a doc in a DSSM model input layer, the query is mapped into a semantic space with the same low dimension as the doc through a DNN structure in the DSSM model, then semantic vectors of the query and the doc are output by a feature extraction layer in the DSSM, a cosine distance between the semantic vector corresponding to the query and the semantic vector corresponding to the doc is calculated through a matching layer, and finally the semantic similarity between the query and the doc, namely the association degree between the information type determined by the target enterprise information and the information type in the preset screen capturing position is obtained.
For example, if the information type determined by the target enterprise information is the business situation and the information type in the preset screen capturing position is the business qualification and the business situation, after the association analysis is performed on the information type determined by the target enterprise information and the information type in the preset screen capturing position by the DSSM model, the association degree between the business situation and the business situation is greater than the association degree between the business situation and the business qualification, that is, the semantic similarity between the business situation and the business situation is greater than the semantic similarity between the business situation and the business qualification.
Step S213, if the association degree is greater than the preset association threshold, determining the window position according to the information type in the preset screen capturing position.
The preset association threshold in the embodiment of the application is 0.95, and the preset association threshold can be adjusted in combination with actual conditions when the technical scheme in the application is actually applied.
For the embodiment of the present application, if the association degree obtained in step S113 is greater than a preset association threshold, that is, the cosine similarity between the information type determined by the target enterprise information and the information type in the preset screen capturing position is greater than 0.95, determining the window position corresponding to the information type in the preset screen capturing position. For example, the information type determined by the target enterprise information is financial expenditure, and if the information type having a degree of association with the operation type of greater than 0.95 in the preset screen capturing position is financial expenditure, the window position corresponding to the financial expenditure in the preset screen capturing position is determined.
Specifically, cosine similarity is in the interval of [ -1,1], when cosine similarity approaches-1, semantic vector directions for comparing cosine similarity tend to be opposite; when the cosine similarity is close to 1, the semantic vector directions for comparing the cosine similarity tend to be the same; when the cosine similarity is close to 0, the direction of the semantic vector for comparing the cosine similarity tends to be orthogonal, and the preset association threshold value in the embodiment of the application is set to be 0.95 based on the technical requirement of the semantic vector in the application when the semantic similarity is compared.
In another possible implementation manner of the embodiment of the present application, before step S14, the method may further include: step S114 (not shown), step S214 (not shown), step S314 (not shown), step S414 (not shown), and step S514 (not shown), wherein,
step S114, determining the corresponding window information at the window position.
The window information is corresponding information of the window position on the web page.
For the embodiment of the application, the web page corresponding to the window position is determined, and the web page content at the window position is obtained as the window information through the HTML tag corresponding to the web page.
Step S214, determining keywords associated with the information type in the window information by carrying out semantic analysis on the window information.
For the embodiment of the application, semantic analysis is carried out on the window information through a DSSM model, and information with semantic similarity larger than 0.8 between information dimensions corresponding to the information types in the window information is used as a keyword. When the window information is subjected to semantic analysis through the DSSM model, the window information is used as a query, the information dimension corresponding to the information type is used as doc, and then the similarity between the query and the doc is calculated to be used as the association degree between the window information and the information type.
For example, the window information is: company A is a high and new enterprise, and the information types are: the scientific research level, namely the corresponding information dimension is the scientific research level, and if the semantic similarity between the window information and the information type at the moment is 0.85, the company A is a high and new enterprise at the moment and is a keyword.
In step S314, it is determined whether the key is the object pointed to by the chain source.
And step S414, if yes, determining the comparison information according to the target position pointed by the keyword.
For the embodiment of the application, firstly, capturing a web page corresponding to the window position through the url lb 2, then analyzing url addresses on the web page through a regular expression, obtaining url addresses of hyperlinks, and finally determining all hyperlinks on the corresponding web page through the obtained url addresses; and determining the text corresponding to the hyperlink on the web site through the url address pair corresponding to the hyperlink.
And carrying out character matching on the keywords and texts corresponding to the hyperlinks through an ESIM algorithm, and recognizing the successfully matched keywords as objects pointed by the chain source. Wherein, ESIM algorithm is text matching algorithm.
And determining the web page pointed by the hyperlink corresponding to the keyword, namely determining the target position pointed by the keyword, and acquiring the web page content of the corresponding web page through the pointed web page HTML tag as comparison information.
Specifically, the ESIM algorithm in the embodiment of the present application is used for text matching, and when the technical scheme in the present application is actually applied, including but not limited to the ESIM algorithm described in the embodiment of the present application, the corresponding technical requirements may be satisfied. In addition, the matching threshold value during text matching can be adjusted according to the actual scene, for example, the matching threshold value is adjusted according to a specific sentence pattern containing keywords on the web page, and the matching threshold value is not particularly limited in the embodiment of the application.
Step S514, if not, the keywords are used as comparison information.
For the embodiment of the application, if the matching of the keywords and the text corresponding to the hyperlink fails, the keywords are used as comparison information.
In another possible implementation manner of the embodiment of the present application, step S14 may specifically include: step S1401 (not shown), step S1402 (not shown), and step S1403 (not shown), wherein,
step S1401, generating an enterprise portrait of the target enterprise according to the comparison information.
The enterprise portraits are labeled information models reflecting the multidimensional information of the enterprises, and have wide application in the aspects of electronic commerce, risk assessment, market supervision and the like.
For the embodiment of the application, the enterprise labels are added to the comparison information through the enterprise portrait construction method based on label layering deepening modeling, and a label model, namely the enterprise portrait, is built according to the comparison information after the enterprise labels are added. Before labels are added to the comparison information through an enterprise portrait construction method based on label layering deepening modeling, an enterprise fuzzy label index system is established by taking an enterprise data index system as a base line in advance, and fuzzy label automatic deepening is achieved through EPLLD.
Specifically, the enterprise portrayal construction method is to screen and integrate enterprise information through a portrayal technology and extract a labeled enterprise model. The current mainstream enterprise portrayal construction method is three kinds of label modeling based on a traditional mode, label modeling based on machine learning and label modeling based on deep learning.
The enterprise portrait construction method in the embodiment of the application establishes an enterprise fuzzy label index system by taking a conventional enterprise data index system as a base line, realizes automatic deepening of fuzzy labels through EPLLD, deeply mines enterprise information of different dimensions in comparison information, and more accurately determines the enterprise labels.
Step S1402, the target information corresponding to the information type is determined in the enterprise portrait.
For the embodiment of the application, in the obtained enterprise model, the corresponding relation between the label and the information type is determined, the information type and the contrast information under the label corresponding to the information type in the enterprise portrait are determined according to the determined corresponding relation, and the contrast information is used as target information. When determining the correspondence, a semantic algorithm model, such as a DSSM model, may be used, and the specific manner is the same as the manner in which the DSSM model analyzes the comparison information and the target enterprise information in step S14.
Step S1403, performing risk assessment on the target enterprise according to the target information to obtain a risk coefficient of the target enterprise.
For the embodiment of the application, a risk assessment model corresponding to the information type is determined, target information is input into the risk assessment model of the target enterprise, and a risk coefficient corresponding to the information type is obtained. For example, if the information type is enterprise credit, the risk assessment model is a business fraud model.
In particular, the current risk assessment models used to assess enterprise risk include, but are not limited to, a funding demand prediction model and a continuous operation assessment model.
In another possible implementation manner of the embodiment of the present application, step S14 may further include: step S141 (not shown) and step S142 (not shown), wherein,
In step S141, a key for encrypting the evaluation information is determined according to the risk coefficient and a preset key standard.
The preset key standard is the corresponding relation among the key, the risk coefficient interval and the data viewing authority. The secret key in the technical scheme is generated by a symmetric key algorithm, and the secret key used in the process of encrypting and decrypting the information is the same secret key, so that the secret key can be used for rapidly encrypting a large amount of information, and is convenient for adapting to the information management requirements of a SaaS platform on a large number of enterprises.
In step S142, the evaluation information is encrypted according to the key to obtain encrypted information.
For the embodiment of the application, the risk coefficient is matched with the preset key standard, and if the risk coefficient is successfully matched with any risk coefficient interval in the preset standard key, the key corresponding to the risk coefficient interval successfully matched is determined.
And encrypting the evaluation information through the determined key to obtain encrypted information. When information encryption is performed, for example, if an AES key algorithm is adopted, evaluation information and a key are first formed into a corresponding initial matrix, then exclusive-or operation is performed on the plaintext matrix and the key matrix, byte substitution is performed on the calculated matrix through an S-box, byte mapping on matrix bytes is completed, then confusion and diffusion are performed on the bytes inside the matrix through row shifting and column confusion, key expansion is performed, all encryption steps are circularly performed for 10 times, and finally encryption information is output.
According to the method and the device for encrypting the evaluation information, the evaluation information is classified and encrypted according to the risk coefficient of the evaluation information, so that the data calculation amount caused by encrypting the evaluation information with low confidentiality is reduced, and the efficiency of encryption processing of the evaluation information is improved.
Another possible implementation manner of the embodiment of the present application may further include: step S14101 (not shown), step S14102 (not shown), step S14103 (not shown), and step S14104 (not shown), wherein,
step S14101, judging whether the account type of the login account is a preset account type, if so, distributing the encryption information to the login account.
The login account is a login account of a user on the SaaS platform, and the preset account type is an administrator.
For the embodiment of the application, whether the corresponding login account is an administrator is judged according to the login ID of the login account, and if so, the viewing authority of the encrypted information is distributed to the corresponding login account.
Specifically, the preset account number type should be adjusted according to practical situations, including but not limited to the administrator mentioned in the embodiment of the present application.
Step S14102, determining whether the data viewing authority corresponding to the login account meets the data viewing authority corresponding to the risk coefficient in the preset key standard.
In step S14103, if yes, the key is assigned to the login account.
Step S14104, marking the login account.
For the embodiment of the application, determining the data viewing authority corresponding to the risk coefficient in the preset key standard, judging whether the data viewing authority corresponding to the login account is lower than the corresponding data viewing authority, if not, distributing the key used for encrypting the evaluation information to the corresponding login account, and finally attaching a viewing tag to the corresponding login account to complete account marking.
According to the method and the device, the encrypted information is uniformly sent to the fixed login account types, the possibility of checking the encrypted evaluation information is reserved for the login account without data checking authority while information disclosure is effectively prevented, and a more convenient management mode is provided when the login account with higher authority manages other login accounts.
In another possible implementation manner of the embodiment of the present application, step S142 may further include: step S1421 (not shown in the figure) and step S1422 (not shown in the figure), wherein,
in step S1421, it is determined whether the login account is marked.
Step S1422, if yes, determining the visual type of the evaluation information corresponding to the login account in the preset visual standard according to the risk coefficient.
The preset visualization standard is the corresponding relation between the visualization type and the risk coefficient interval.
For the embodiment of the application, whether the login account has a check tag is judged, if so, the risk coefficient is matched with a risk coefficient interval in a preset visual standard, and if the risk coefficient is in any risk coefficient interval in the preset visual standard, the visual type corresponding to the corresponding risk coefficient interval in the preset visual standard is used as the visual type of the login account when checking the evaluation information.
In the embodiment of the application, the visualization type is determined according to the risk coefficient of the evaluation information, so that the display interface of the evaluation information of different risk grades when facing the user is determined, and the user can more intuitively and clearly know the multidimensional information of the target enterprise when making a decision.
The foregoing embodiment describes a data display method based on a SaaS platform from the perspective of a method flow, and the following embodiment describes a data display device based on a SaaS platform from the perspective of a virtual module or a virtual unit, specifically the following embodiment.
The embodiment of the application provides a data display device 20 based on a SaaS platform, as shown in fig. 2, the data display device 20 based on the SaaS platform may specifically include: the enterprise information module 21 is acquired, the information type module 22 is determined, the window position module 23 is determined, the risk coefficient module 24 is assessed, and the assessment information module 25 is generated, wherein,
The enterprise information acquisition module 21 is configured to acquire target enterprise information, where the target enterprise information is enterprise information uploaded by a target enterprise on the SaaS platform;
a determining information type module 22, configured to determine an information type of the target enterprise information, where the information type is an information element reflected by the enterprise information;
the window position determining module 23 is configured to determine a window position corresponding to the information type in a preset screen capturing position, where the window position is a web window position corresponding to enterprise information of a target enterprise in a web page;
the risk assessment module 24 is configured to perform risk assessment on the target enterprise according to the comparison information at the window position, so as to obtain a risk coefficient, where the risk coefficient is used to reflect a risk level corresponding to the information element;
the evaluation information generation module 25 is configured to generate evaluation information according to the risk coefficient and the comparison information.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: module for determining association degree and module for determining window position
The association degree determining module is used for determining association degree of the information type and the information type in the preset screen capturing position;
and the window position determining module is used for determining the window position according to the information type in the preset screen capturing position.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a window information determining module, a keyword determining module, a ripple source determining object determining module, a primary information determining module and a secondary information determining module, wherein,
the window information determining module is used for determining window information corresponding to the window position, wherein the window information is corresponding information of the window position on the web page;
the keyword determining module is used for determining keywords associated with the information type in the window information by carrying out semantic analysis on the window information;
the ripple source object determining module is used for determining whether the keyword is an object pointed by the chain source;
the first-level determining information module is used for determining comparison information according to the target position pointed by the keyword;
and the second-level determination information module is used for taking the keywords as comparison information.
In another possible implementation manner of this embodiment of the present application, when the risk assessment module 24 performs risk assessment on the target enterprise according to the comparison information at the window position to obtain the risk coefficient, the risk assessment module is specifically configured to:
generating an enterprise portrait of the target enterprise according to the comparison information;
determining target information corresponding to the information type in the enterprise portrait;
And performing risk assessment on the target enterprise according to the target information to obtain a risk coefficient of the target enterprise.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a key module and an encryption information module are determined, wherein,
the key determining module is used for determining a key for encrypting the evaluation information according to the risk coefficient and a preset key standard;
and the encryption information module is used for encrypting the evaluation information according to the secret key to obtain encryption information.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a judging type module, a permission determining module, an account allocation module and a marked account module, wherein,
the judging type module is used for judging whether the account type of the login account is a preset account type or not, if so, distributing the encrypted information to the login account, wherein the login account is a login account of a user on the SaaS platform;
the permission determining module is used for determining whether the data viewing permission corresponding to the login account meets the data viewing permission corresponding to the risk coefficient in a preset key standard;
the account distribution module is used for distributing the secret key and the encryption information to the login account;
and the marking account module is used for marking the login account.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a determining marking module and a determining type module, wherein,
the determining and marking module is used for determining whether the login account is marked;
and the type determining module is used for determining the visual type of the evaluation information corresponding to the login account in a preset visual standard according to the risk coefficient.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the data display device 20 based on the SaaS platform described above may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 3, an electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (10)

1. The data display method based on the SaaS platform is characterized by comprising the following steps of:
acquiring target enterprise information, wherein the target enterprise information is enterprise information uploaded by a target enterprise on a SaaS platform;
determining the information type of the target enterprise information, wherein the information type is an information element reflected by the enterprise information;
determining a corresponding window position of the information type in a preset screen capturing position, wherein the window position is a web window position corresponding to enterprise information of the target enterprise in a web page;
performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient, wherein the risk coefficient is used for reflecting a risk level corresponding to the information element;
and generating evaluation information according to the risk coefficient and the comparison information.
2. The SaaS platform-based data display method according to claim 1, wherein the determining the window position corresponding to the information type in the preset screen capturing position further comprises:
Determining the association degree of the information type and the information type in the preset screen capturing position;
and if the association degree is larger than a preset association threshold value, determining the window position according to the information type in the preset screen capturing position.
3. The SaaS platform-based data display method according to claim 1, wherein the performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient further comprises:
determining window information corresponding to the window position, wherein the window information is corresponding information of the window position on the web page;
determining keywords associated with the information type in the window information by carrying out semantic analysis on the window information;
determining whether the key word is an object pointed by a chain source;
if yes, determining the comparison information according to the target position pointed by the keyword;
and if not, taking the keyword as the comparison information.
4. The data display method based on the SaaS platform according to claim 1, wherein the performing risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient includes:
Generating an enterprise portrait of the target enterprise according to the comparison information;
determining target information corresponding to the information type in the enterprise portrait;
and performing risk assessment on the target enterprise according to the target information to obtain a risk coefficient of the target enterprise.
5. The SaaS platform-based data display method according to claim 1, wherein the generating the evaluation information according to the risk coefficient and the comparison information further comprises:
determining a key for encrypting the evaluation information according to the risk coefficient and a preset key standard;
and encrypting the evaluation information according to the key to obtain encryption information.
6. The SaaS platform based data presentation method as claimed in claim 5, further comprising:
judging whether the account number type of the login account is a preset account number type, if so, distributing the encrypted information to the login account number, wherein the login account number is a login account number of a user on a SaaS platform;
determining whether the data viewing authority corresponding to the login account meets the data viewing authority corresponding to the risk coefficient in the preset key standard or not;
If yes, distributing the secret key and the encryption information to the login account;
and marking the login account.
7. The SaaS platform-based data display method according to claim 5, wherein the encrypting the evaluation information according to the key, obtaining encrypted information, further comprises:
determining whether the login account is marked;
if yes, determining the visualization type of the evaluation information corresponding to the login account in a preset visualization standard according to the risk coefficient.
8. Data display device based on SaaS platform, characterized by comprising:
the enterprise information acquisition module is used for acquiring target enterprise information, wherein the target enterprise information is the enterprise information uploaded by a target enterprise on the SaaS platform;
the information type determining module is used for determining the information type of the target enterprise information, wherein the information type is an information element reflected by the enterprise information;
a window position determining module, configured to determine a window position corresponding to the information type in a preset screen capturing position, where the window position is a web window position corresponding to enterprise information of the target enterprise in a web page;
The risk assessment module is used for carrying out risk assessment on the target enterprise according to the comparison information at the window position to obtain a risk coefficient, and the risk coefficient is used for reflecting a risk level corresponding to the information element;
and the evaluation information generation module is used for generating evaluation information according to the risk coefficient and the comparison information.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: performing the method of any one of claims 1-7.
10. A computer readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the method of any of claims 1 to 7.
CN202310208102.1A 2023-03-06 2023-03-06 Data display method and device based on SaaS platform, electronic equipment and medium Pending CN116186410A (en)

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