CN117852014A - Big data-based server file data authentication query method - Google Patents

Abstract

The invention discloses a server file data authentication query method based on big data, which comprises a mobile equipment end, an application server, a data network and a cloud data server, wherein the mobile equipment end is connected with the application server, the application server is connected with the data network, the data network is connected with the cloud data server, the mobile equipment end comprises a mobile phone end, a notebook and a fixed network end, the mobile phone end is connected with a communication network, the notebook is connected with the Internet, and the fixed network end is connected with a broadcast television network. The server file data authentication query method based on big data is beneficial to authenticating information of users, avoiding illegal use of network query private information by other users, facilitating simultaneous use of multiple devices, avoiding limitation of single device query information, downloading and storing daily required information files in a later period, and improving practical effect of the device.

Description

Big data-based server file data authentication query method

Technical Field

The invention relates to the technical field of big data correlation, in particular to a server file data authentication query method based on big data.

Background

With the high-speed development of the internet, the network data information of individuals, enterprises, government and education on various applications is blown out, the network data information has the remarkable characteristics of large capacity, multiple forms, high access rate, large concurrency and the like, the network data information is stored in a massive file mode, the large data inquiry refers to the process of returning the result data to a request end after calculating the data in a data warehouse or a distributed file system according to a certain rule, the SQ1 is usually used as an inquiry parameter, the result data of the SQ1 is executed as the return, in the existing data transmission process, when terminal equipment outside the exchange network needs to interact with terminal equipment in the exchange network, virtual special network boundary access equipment is usually needed, the data needing to be transmitted is accessed to the exchange network through a port which is automatically opened by the VPN boundary access equipment, but under the condition, the safety of the VPN access equipment is not verified safely, the safety of the data is not obtained, the safety of the whole exchange network can be endangered, therefore, the safety of the whole exchange network is ensured, the large server is based on the new data inquiry scheme is not provided, and the new data inquiry scheme is provided.

The Chinese patent grant bulletin number CN107092635B discloses a data query method, a device, a data server, a request end and a system, and in the technical scheme of the embodiment of the application, the data server receives a data query request; generating path identification information; transmitting the path identification information and the query instruction to a data query system; the path identification information is used for creating a file path in a file system; the file path is used for writing result data obtained based on the query instruction; and sending the path identification information to a first request end so that the first request end can call a client end of the file system to download the result data from the file path.

The Chinese patent grant publication No. CN112925960B discloses an automobile accessory data query method, which comprises the following steps: establishing a database, wherein the database comprises basic data information of a plurality of automobile money and whole automobile accessory data information of the plurality of automobile money, the basic data information comprises an automobile identification code, automobile money information and configuration information of an automobile, and the whole automobile accessory data information comprises a standard accessory name, accessory number information and substitute accessory information; acquiring a vehicle identification code of a required accessory; acquiring the corresponding vehicle money information through the vehicle identification code; acquiring the data information of the whole vehicle fittings of the vehicle money through the vehicle money information; acquiring the standard accessory name of the required accessory; and inquiring the standard accessory name of the required accessory in the whole vehicle accessory data information to acquire the required accessory data information.

The Chinese patent grant publication No. CN113468169B discloses a hardware database query method, a database system query method and a device, wherein the hardware database query method comprises the following steps: receiving inquiry request information; executing one or more instructions in the instruction set of the hardware database processor according to the query request information to obtain a query execution result; and outputting the query execution result. Wherein the query request information includes information that needs to be entered to execute the one or more instructions; the instruction set of the hardware database processor comprises a data sequence selection instruction, a data element condition selection instruction, a data element reference selection instruction, a data sequence merging and connecting instruction, a data table dividing instruction, a data sequence aggregation instruction, an isomorphic data table splicing instruction and a data table ordering instruction.

The prior art solutions described above have the following drawbacks: the method is inconvenient to authenticate the information of the user, is easy to cause other users to illegally use the network to inquire the private information, is inconvenient to use multiple devices simultaneously, is easy to cause the limitation of inquiring the information of a single device, is inconvenient to download and store daily required information files in the later period, and is poor in practical effect, so that a server file data authentication inquiring method based on big data is provided, and the problem in the above is solved.

Disclosure of Invention

The invention aims to provide a server file data authentication query method based on big data, which aims to solve the problems that the information of a user is inconvenient to authenticate in the background technology, the illegal use of network query private information by other users is easy to cause, the simultaneous use of multiple devices is inconvenient, the limitation of single device query information is easy to cause, the downloading and the storage of daily required information files are inconvenient to later stage, and the practical effect is poor.

In order to achieve the above purpose, the present invention provides the following technical solutions: a server file data authentication query method based on big data comprises the following steps: the mobile device comprises a mobile device end, an application server, a data network and a cloud data server, wherein the mobile device end is connected with the application server, the application server is connected with the data network, and the data network is connected with the cloud data server.

In one possible implementation, the mobile device end includes a mobile phone end, a notebook, and a fixed network end.

In one possible implementation manner, the mobile phone end is connected with a communication network, the notebook is connected with the internet, and the fixed network end is connected with a broadcast television network.

In one possible implementation, the application server thereof comprises the following modules:

module one: a query request receiving module;

and a second module: a query file generation module;

and a third module: a query result file receiving module;

and a fourth module: a query result return module;

and a fifth module: a query result file analysis module;

and a sixth module: a query file sending module;

and a seventh module: and a query request analysis module.

In one possible implementation, the data network thereof comprises the following modules:

module one: a query file receiving module;

and a second module: a query file analysis module;

and a third module: a message generation module;

and a fourth module: a message sending module;

and a fifth module: a message acceptance module;

and a sixth module: a query result file generation module;

and a seventh module: and a query result file sending module.

In one possible implementation, the sixth module is completed by the following steps:

step one: downloading through a network data cache;

step two: downloading the network data and then transmitting the network data to a local cache;

step three: transmitting the locally cached data to a cache query module;

step four: and finally, sending the cached data to a query result file generation module.

In one possible implementation, the data query overall operation steps include the following steps:

step one: a user opens software and logs in corresponding account information by using a mobile device terminal;

step two: after receiving the inquiry request of the user, starting to verify;

step three: confirming a query request of a user through networking, and transmitting information to an application server for file query;

step four: at this time, the server analyzes and generates data and sends the data to a data network;

step five: after receiving the inquiry command, the data network generates a file inquiry result through analysis;

step six: downloading corresponding file results from network data or local data;

step seven: transmitting the file inquiry result to an application server in a text or graphic mode;

step eight: and finally, the application server sends the file inquiry result to the mobile equipment end for the user to check.

In one possible implementation, the second step includes the following operation sequences:

operation sequence one: calculating terminal equipment information by using a mobile equipment end fingerprint authentication algorithm to generate a first hash value;

and the operation sequence II is as follows: encrypting the user information and sending the encrypted user information to an authentication server;

and (3) an operation sequence III: the user information is authenticated;

and the operation sequence is four: generating a second key;

and an operation sequence five: transmitting a fingerprint verification ciphertext of the mobile equipment terminal;

and (3) an operation sequence of six: calculating a second hash value by using a fingerprint verification algorithm of the mobile equipment end;

operation sequence seven: comparing the similarity of the first hash value and the second hash value;

operation sequence eight: querying a target enterprise credit report in an application server.

Compared with the prior art, the invention has the beneficial effects that: the server file data authentication query method based on big data is beneficial to authenticating the information of the user, avoiding illegal use of network query private information by other users, facilitating simultaneous use of multiple devices, avoiding limitation of single device query information, downloading and storing daily required information files in a later period, and improving the practical effect of the device;

1. the fingerprint information of the user is identified through a mobile device fingerprint authentication algorithm to generate a first hash value, the mobile device terminal encrypts the user information and sends the encrypted user information to an authentication server, the authentication server generates a second key after the user information is authenticated, and sends the second key to the mobile device terminal to carry out fingerprint authentication ciphertext, the second hash value is calculated through the mobile device terminal fingerprint authentication algorithm, and the corresponding problem result is inquired through comparing the similarity of the first hash value and the second hash value, so that the authentication of the user information is facilitated to be sure, the phenomenon that other users illegally use the network to inquire the private information is avoided, and the safety of the user and the information is protected;

2. the mobile phone end can be connected with a communication network, the notebook computer can be connected with the Internet, the fixed network end can be connected with a broadcast television network, the equipment end capable of inquiring information is increased, the limitation of single equipment for inquiring information is avoided, users and staff can conveniently utilize the mobile equipment end to perform information inquiry operation whenever and wherever, and the use efficiency is improved;

3. through intercommunication of network data and local data, network data packets can be downloaded in advance and then stored in the local data under corresponding information conditions, so that the problem of information delay caused by ring connection can be more quickly avoided when later-period inquiry is facilitated, information files matched with inquiry can be transmitted in a text or graphic mode, a senior user or a user suffering from presbyopia can be conveniently checked in real time under the condition of no support of other auxiliary equipment, and humanization, convenience and an efficient processing mode are further improved.

Drawings

FIG. 1 is a schematic diagram of the overall system of the present invention;

FIG. 2 is a schematic diagram of a data query method at a mobile device according to the present invention;

FIG. 3 is a schematic diagram of an internal system of an application server according to the present invention;

FIG. 4 is a schematic diagram of a data network operating system according to the present invention;

FIG. 5 is a schematic diagram of the information query operation steps of the present invention;

fig. 6 is a schematic diagram of a user information verification step according to the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1-6, the present invention provides a technical solution: the server file data authentication query method based on big data comprises a mobile device end, an application server, a data network and a cloud data server, wherein the mobile device end is connected with the application server, the application server is connected with the data network, and the data network is connected with the cloud data server.

As shown in fig. 2, the mobile device side includes a mobile phone side, a notebook and a fixed network side.

In fig. 2, the mobile phone end is connected with a communication network, the notebook is connected with the internet, and the fixed network end is connected with a broadcast television network.

As shown in fig. 3, the application server comprises the following modules:

module one: a query request receiving module; and a second module: a query file generation module; and a third module: a query result file receiving module; and a fourth module: a query result return module; and a fifth module: a query result file analysis module; and a sixth module: a query file sending module; and a seventh module: and a query request analysis module.

As in fig. 4, its data network comprises the following modules:

module one: a query file receiving module; and a second module: a query file analysis module; and a third module: a message generation module; and a fourth module: a message sending module; and a fifth module: a message acceptance module; and a sixth module: a query result file generation module; and a seventh module: and a query result file sending module.

As shown in fig. 4, the sixth module is completed by the following steps:

step one: downloading through a network data cache; step two: downloading the network data and then transmitting the network data to a local cache; step three: transmitting the locally cached data to a cache query module; step four: and finally, sending the cached data to a query result file generation module.

As shown in fig. 5, the overall operation steps of the data query include the following steps:

step one: a user opens software and logs in corresponding account information by using a mobile device terminal; step two: after receiving the inquiry request of the user, starting to verify; step three: confirming a query request of a user through networking, and transmitting information to an application server for file query; step four: at this time, the server analyzes and generates data and sends the data to a data network; step five: after receiving the inquiry command, the data network generates a file inquiry result through analysis; step six: downloading corresponding file results from network data or local data; step seven: transmitting the file inquiry result to an application server in a text or graphic mode; step eight: and finally, the application server sends the file inquiry result to the mobile equipment end for the user to check.

As shown in fig. 6, the second step includes the following operation sequences:

operation sequence one: calculating terminal equipment information by using a mobile equipment end fingerprint authentication algorithm to generate a first hash value; and the operation sequence II is as follows: encrypting the user information and sending the encrypted user information to an authentication server; and (3) an operation sequence III: the user information is authenticated; and the operation sequence is four: generating a second key; and an operation sequence five: transmitting a fingerprint verification ciphertext of the mobile equipment terminal; and (3) an operation sequence of six: calculating a second hash value by using a fingerprint verification algorithm of the mobile equipment end; operation sequence seven: comparing the similarity of the first hash value and the second hash value; operation sequence eight: querying a target enterprise credit report in an application server.

When the server file data authentication query method based on big data is used, firstly, as shown in fig. 2, 5 and 6, a user is firstly connected with a communication network through a mobile phone terminal, is connected with the Internet through a notebook or is connected with a broadcast network through a fixed network terminal before querying data, the user logs in dedicated account information after opening corresponding software by using a mobile equipment terminal, after receiving a query request of the user, equipment starts to perform authentication operation, a mobile equipment terminal fingerprint authentication algorithm is used for calculating terminal equipment information, so that a first hash value is generated, the mobile equipment terminal encrypts the information of the user and sends the encrypted information to an authentication server, the authentication server generates a second key after authenticating the user information, at the moment, the authentication server sends the key to the mobile equipment terminal to generate fingerprint authentication ciphertext, the second hash value is calculated by using the mobile equipment terminal fingerprint authentication algorithm, and the user information is confirmed by comparing the similarity of the first hash value and the second hash value.

As shown in fig. 1, fig. 3 and fig. 5, after confirming the query request of the user through the mobile device terminal after networking, the application server transmits information to the application server for file query, after the operations such as query request receiving, query file generating, query result file receiving, query result returning, query result file analyzing, query file transmitting, query request analyzing and the like, the application server analyzes and generates data so as to transmit the data to the data network, as shown in fig. 4, the data network transmits the data through the query file receiving, query file analyzing, query message generating, query message transmitting, query result file receiving, query result file generating and query result file transmitting back to the data network, query information data can be downloaded from the network to a local database and then transmitted to the query result file generating module, at this time, the data network transmits the file query result to the application server in a text or graphic mode, and then transmits the application server to the mobile device terminal for login users to check, and the query information file can be transmitted in a text or graphic mode, so that the long-term users or other users with no help can be checked, further convenience and high-speed and convenience are realized, and high-speed are realized under the condition that the user has no support.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. The server file data authentication query method based on big data is characterized by comprising the following steps: the mobile device comprises a mobile device end, an application server, a data network and a cloud data server, wherein the mobile device end is connected with the application server, the application server is connected with the data network, and the data network is connected with the cloud data server.

2. The server file data authentication query method based on big data as claimed in claim 1, wherein: the mobile equipment end comprises a mobile phone end, a notebook and a fixed network end.

3. The server file data authentication query method based on big data as claimed in claim 2, wherein: the mobile phone end is connected with a communication network, the notebook is connected with the Internet, and the fixed network end is connected with a broadcast television network.

4. The server file data authentication query method based on big data as claimed in claim 1, wherein the application server comprises the following modules:

module one: a query request receiving module;

and a second module: a query file generation module;

and a third module: a query result file receiving module;

and a fourth module: a query result return module;

and a fifth module: a query result file analysis module;

and a sixth module: a query file sending module;

and a seventh module: and a query request analysis module.

5. The server file data authentication query method based on big data as claimed in claim 1, wherein the data network comprises the following modules:

module one: a query file receiving module;

and a second module: a query file analysis module;

and a third module: a message generation module;

and a fourth module: a message sending module;

and a fifth module: a message acceptance module;

and a sixth module: a query result file generation module;

and a seventh module: and a query result file sending module.

6. The server file data authentication query method based on big data as claimed in claim 5, wherein the sixth module is completed by the following steps:

step one: downloading through a network data cache;

step two: downloading the network data and then transmitting the network data to a local cache;

step three: transmitting the locally cached data to a cache query module;

step four: and finally, sending the cached data to a query result file generation module.

7. The method for authenticating and querying the server file data based on big data according to claim 1, wherein the step of integrally querying the data comprises the following steps:

step one: a user opens software and logs in corresponding account information by using a mobile device terminal;

step two: after receiving the inquiry request of the user, starting to verify;

step three: confirming a query request of a user through networking, and transmitting information to an application server for file query;

step four: at this time, the server analyzes and generates data and sends the data to a data network;

step five: after receiving the inquiry command, the data network generates a file inquiry result through analysis;

step six: downloading corresponding file results from network data or local data;

step seven: transmitting the file inquiry result to an application server in a text or graphic mode;

step eight: and finally, the application server sends the file inquiry result to the mobile equipment end for the user to check.

8. The method for authenticating and querying server file data based on big data as claimed in claim 7, wherein the second step comprises the following operation sequences:

operation sequence one: calculating terminal equipment information by using a mobile equipment end fingerprint authentication algorithm to generate a first hash value;

and the operation sequence II is as follows: encrypting the user information and sending the encrypted user information to an authentication server;

and (3) an operation sequence III: the user information is authenticated;

and the operation sequence is four: generating a second key;

and an operation sequence five: transmitting a fingerprint verification ciphertext of the mobile equipment terminal;

and (3) an operation sequence of six: calculating a second hash value by using a fingerprint verification algorithm of the mobile equipment end;

operation sequence seven: comparing the similarity of the first hash value and the second hash value;

operation sequence eight: querying a target enterprise credit report in an application server.