CN113158144B

CN113158144B - Method and device for processing work content uplink, computer equipment and storage medium

Info

Publication number: CN113158144B
Application number: CN202110281014.5A
Authority: CN
Inventors: 匡立中; 蔡亮; 李伟; 张帅; 曾磊
Original assignee: Hangzhou Qulian Technology Co Ltd
Current assignee: Hangzhou Qulian Technology Co Ltd
Priority date: 2021-03-16
Filing date: 2021-03-16
Publication date: 2022-08-30
Anticipated expiration: 2041-03-16
Also published as: CN113158144A

Abstract

The application provides a method, a device, a computer device and a storage medium for processing uplink of work content, wherein the method comprises the following steps: acquiring user operation data correspondingly generated in the authoring process of target work content; acquiring a corresponding pre-stored target operation mapping table according to the data type of the user operation data; based on the target operation mapping table, performing expansion processing on the user operation data to obtain processed user operation data; and processing the user operation data and the processed user operation data according to a preset uplink type of the work so as to perform uplink processing on the content of the target work. The method expands the final quantity of the user operation data, increases the difficulty of the work being stolen, and further effectively improves the uplink safety of the work content.

Description

Method and device for processing work content uplink, computer equipment and storage medium

Technical Field

The present application relates to the field of block chain technologies, and in particular, to a method and an apparatus for processing a chain on a work content, a computer device, and a storage medium.

Background

The block chain technology, bt (block chain technology) for short, also called distributed book technology, is an internet database technology, and is characterized by decentralization, openness and transparency, so that everyone can participate in database recording. For example, the uplink records documents of various service fields, which can improve the service processing efficiency; for example, the upper chain records literary works such as article novels, calligraphy and painting, cartoon and the like, and can realize copyright registration and protection.

In a traditional work uplink mode, after the work is created, the work itself is sent to a blockchain for fixing copyright evidence, and once the work itself is used as uplink data, the work is inevitably revealed and ownership of the work cannot be self-certified. However, if the hash value of the work is used as uplink data, hash structure attack is easy to occur, and ownership of the work cannot be verified by itself, so that the copyright of the work cannot be protected.

Therefore, the existing work uplink mode has the problem of low uplink safety.

Disclosure of Invention

Therefore, in order to solve the above technical problems, a work content uplink processing method, an apparatus, a computer device and a storage medium are needed to be provided to solve the problem of low uplink security in the existing work uplink method.

In a first aspect, an embodiment of the present application provides a method for uplink processing of a work content, including:

acquiring user operation data correspondingly generated in the authoring process of the target work content;

acquiring a corresponding pre-stored target operation mapping table according to the data type of the user operation data;

based on the target operation mapping table, performing expansion processing on the user operation data to obtain processed user operation data;

and processing the user operation data and the processed user operation data according to a preset uplink type of the work so as to carry out uplink processing on the content of the target work.

Further, the step of obtaining a corresponding pre-stored target operation mapping table according to the data type of the user operation data includes:

determining the data type of the user operation data;

if the data type is keyboard operation data, acquiring a pre-stored first operation mapping table as the target operation mapping table, wherein M dimensional indexes in the first operation mapping table are English letters and/or special characters, and M is more than or equal to 2;

and if the data type is the painting brush operation data, acquiring a pre-stored second operation mapping table as the target operation mapping table, wherein N dimensional indexes in the second operation mapping table are at least one of the starting and stopping positions of the painting brush, the rotating angle of the pen point and the color selected by the painting brush, and N is more than or equal to 2.

Further, after the determining the data type of the user operation data, the method further includes:

classifying the pre-stored operation mapping tables to obtain non-idle operation mapping tables and/or idle operation mapping tables;

if the pre-stored operation mapping table comprises the non-null operation mapping table, determining the non-null operation mapping table as a candidate operation mapping table required for obtaining the target operation mapping table;

and if the pre-stored operation mapping table does not comprise the non-null operation mapping table, determining the null operation mapping table as the target operation mapping table.

if the candidate operation mapping table does not comprise the first operation mapping table, determining the idle operation mapping table as a target operation mapping table corresponding to the keyboard operation data;

and if the candidate operation mapping table does not comprise the second operation mapping table, determining the idle operation mapping table as a target operation mapping table corresponding to the painting brush operation data.

Further, the step of performing dilation processing on the user operation data based on the target operation mapping table to obtain processed user operation data includes:

determining adjacent front L data of each target data in the user operation data based on the index dimension number of the target operation mapping table, wherein L is greater than or equal to 1 and serves as expansion reference data corresponding to the target data;

sequentially querying target indexes in the target operation mapping table by using each target data and the corresponding expansion reference data thereof as index data to obtain expansion data corresponding to at least two target indexes in the target operation mapping table;

and correspondingly replacing each target data with the expansion data to perform expansion processing on the user operation data to obtain the processed user operation data.

determining each dimension index of the target operation mapping table according to the data type of the user operation data and a preset index dimension number, and dividing each data in the user operation data to obtain more than one group of user index data;

determining a mapping relation between the user index data and preset expansion data, and correspondingly filling the expansion data into the target operation mapping table for updating based on the mapping relation to obtain a non-null operation mapping table serving as an updated target operation mapping table;

and replacing the user index data in the user operation data with corresponding expansion data based on the updated target operation mapping table so as to perform expansion processing on the user operation data to obtain the processed user operation data.

Further, the step of processing the user operation data and the processed user operation data according to a preset uplink type of the work to perform uplink processing on the content of the target work includes:

when the preset composition uplink type is the original composition uplink, packaging the user operation data and the processed user operation data to obtain content composition data of the target composition content, and performing uplink operation on the content composition data and version data of the target operation mapping table;

when the preset work uplink type is hash uplink, based on a preset hash algorithm, calculating the user operation data and the processed user operation data, obtaining the work hash data of the target work content, and performing uplink operation on the work hash data and the version data of the target operation mapping table.

In a second aspect, an embodiment of the present application further provides a work content uplink processing apparatus, including:

the first acquisition module is used for acquiring user operation data correspondingly generated in the authoring process of the target work content;

the second acquisition module is used for acquiring a corresponding pre-stored target operation mapping table according to the data type of the user operation data;

the first processing module is used for performing expansion processing on the user operation data based on the target operation mapping table to obtain processed user operation data;

and the second processing module is used for processing the user operation data and the processed user operation data according to a preset uplink work type so as to carry out uplink processing on the target work content.

In a third aspect, the present application further provides a composition uplink processing apparatus, including:

one or more processors;

a memory; and one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the method of chain processing of content of a work.

In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program is loaded by a processor to execute the steps of the method for processing a chain of contents of a work.

In a fifth aspect, embodiments of the present application provide a computer program product or a computer program comprising computer instructions stored in a computer readable storage medium. The processor of the chain of contents processing device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the chain of contents processing device to perform the method provided by the first aspect.

According to the work content uplink processing method, the work content uplink processing device, the computer equipment and the storage medium, the block chain server further obtains the target operation mapping table required by the uplink through obtaining the user operation data correspondingly generated in the creation process of the target work content, so that expansion processing is performed on the user operation data based on the data recorded in the mapping table, the number of the user operation data is expanded, and the difficulty of work theft is increased. By adopting the method, the length safety control of the content data contained in the works is realized, the record of the characteristics of the creation habit of the user is reserved, an effective way is provided for the copyright self-certification of the works, and finally the uplink safety of the content of the works is effectively improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of a scenario of a method for uplink processing of a work content according to an embodiment of the present application;

FIG. 2 is a flowchart illustrating a method for uplink content processing of a work according to an embodiment of the present application;

FIG. 3 is a block diagram illustrating a target operation mapping table according to an embodiment of the present disclosure;

FIG. 4 is a block diagram of a structure of a chain processing device for work content in an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a chain processing device for content of works in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any inventive effort, shall fall within the scope of protection of the present application.

In the description of the present application, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, the meaning of "a plurality" is two or more unless otherwise specified. Furthermore, the term "comprises" and any variations thereof is intended to cover non-exclusive inclusions.

In the description of the present application, the term "such as" is used merely to mean "serving as an example, instance, or illustration. Any embodiment described herein as "for example" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not shown in detail to avoid obscuring the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

In the embodiment of the present application, the uplink-of-work-content processing method provided by the present application is executed in the uplink-of-work-content processing apparatus, and the processing objects of each uplink-of-work-content processing apparatus exist in the form of data or information, such as time, which is substantially time information. It can be understood that, in the following embodiments, if the number, the position, the color, and the like are mentioned, corresponding data exist, so that the uplink processing device for the content of the work performs processing, which is not described herein in detail. In order to make the purpose, technical solution and effect of the present application clearer and clearer, detailed descriptions are provided below for a method, an apparatus, a computer device and a storage medium for sorting and navigating a logistics cargo, with reference to the accompanying drawings and by way of example.

Fig. 1 is a schematic view of a scenario of a work content uplink processing method provided by the present application, which can be applied to a work content uplink processing system. Wherein, the uplink processing system of the content of the work comprises the terminal 100 and the server 200, the terminal 100 can be a device including both receiving and transmitting hardware, i.e. a device having receiving and transmitting hardware capable of performing bidirectional communication over a bidirectional communication link. Such a device may include: a cellular or other communications device having a single line display or a multi-line display or a cellular or other communications device without a multi-line display. The terminal 100 may specifically be a desktop terminal or a mobile terminal, and the terminal 100 may also specifically be one of a mobile phone, a tablet computer, a notebook computer, and the like.

The server 200 may be a stand-alone server or a server network or server cluster of servers. For example, the server 200 may be a blockchain server network composed of a plurality of blockchain servers 300 that are communicatively connected to each other, and each blockchain server 300 includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a cloud server composed of a plurality of servers. Among them, the Cloud server is constituted by a large number of computers or network servers based on Cloud Computing (Cloud Computing).

It should be noted that the schematic diagram of the uplink content processing scenario shown in fig. 1 is only an example, and the uplink content processing system and scenario described in the embodiment of the present invention are for more clearly illustrating the technical solution of the embodiment of the present invention, and do not constitute a limitation to the technical solution provided by the embodiment of the present invention. As can be seen by those skilled in the art, with the evolution of the chain processing system for the content of the work and the emergence of new business scenarios, the technical solution provided by the embodiments of the present invention is also applicable to similar technical problems.

As shown in fig. 2, an embodiment of the present application provides a method for uplink processing of work content, which is mainly exemplified by applying the method to the above-mentioned blockchain server 300 in fig. 1, and the method includes steps S201 to S204, which are as follows:

s201, user operation data which is correspondingly generated in the authoring process of the target work content is obtained.

The target work content can be literary, artistic or scientific, creative and represented intellectual achievement duplicated in a certain tangible form. For example, written works such as novels, poems, prose, treatises, shorthand records, digital games, and the like; for example, art works such as paintings, calligraphy, prints, comics, and designs.

The user operation data may be data for generating target work content, and the data is generated by operation behavior of an author when the work is created. For example, the user operation data corresponding to a piece of work content "today is really good" may be "jintianianqizhehao" obtained by the author operating with the pinyin input method; for example, a partial image in a drawing is also the content of the art work, and the corresponding user operation data may be the brush color, the pen tip angle, the start/stop position of each line, and the like used when the author draws the partial image. The color, angle, position, etc. are analog signal data or digital signal data submitted by the author when the author uses the computer program to create the work.

Specifically, before performing the uplink processing on the target work content to be uplink selected by the author, the blockchain server 300 needs to obtain the user operation data corresponding to the target work content as the basis for the uplink processing of the subsequent works, so as to improve the security of the work after uplink, and prevent the work from being easily stolen and losing the copyright enjoyed by the author on the work.

For example, the blockchain server 300 may obtain user operation data from the terminal 100, and the data may be obtained by recording the operation result of the author in real time by the terminal 100 and then transmitting the operation result to the blockchain server 300 in real time, that is, without the author triggering a data transmission instruction; the author may actively trigger a data submission instruction to instruct the terminal 100 to transmit the data submitted by the author to the blockchain server 300, so the obtaining method is not specifically limited in this embodiment.

In addition, the embodiment of the present application is not particularly limited to the acquisition time of the user operation data. The embodiment of the present application is also not particularly limited to the data type of the user operation data. For example, in the user operation data "birwenjuanzzz ← ← ← (three times of lattice regression, which can be represented by the character" ← ") zuoguoch", not only the stroke error modification of the author is included, but also the authoring habit of the author is included, and for example, if the content "say" corresponds to the complete user operation data "biru", the data entered by the author is only "bir", and the letter "u" is omitted.

S202, acquiring a corresponding pre-stored target operation mapping table according to the data type of the user operation data.

The target operation mapping table may be a comparison table used for performing inflation processing on user operation data, and the comparison table may be a two-dimensional excel table or a three-dimensional stereo comparison table. For example, as shown in fig. 3, the target operation mapping table related in this embodiment may be a two-dimensional table, two dimensional indexes in the table are presented in an alphabetical order, and data corresponding to different dimensional indexes may be referred to as "inflation data" for replacement processing of the user operation data, so that the user operation data is presented in other forms of data, that is, inflation is implemented. The data replacement step in this embodiment will be described in detail in the following embodiments.

Specifically, the data types of the user operation data may be divided by the devices used for creating the work, and include, but are not limited to, keyboard operation data in which the user operation data is entered using a physical keyboard or a virtual keyboard, and brush operation data in which the user operation data is entered using a virtual brush. The user operation data of the keyboard operation data type can be phonetic letters, English letters, five-stroke etymons or other special characters and the like. The user operation data of the brush operation data may be a brush start-stop position (image coordinates), a pen tip rotation angle (line width and thickness), a brush selected color (line color), or the like.

More specifically, in order to obtain a target operation mapping table pre-stored corresponding to the data type, the blockchain server 300 needs to first determine the data type of the user operation data, then search an operation mapping table pre-stored in the database according to the data type, and screen out an operation mapping table in which the index type is consistent with the data type, as the currently required target operation mapping table.

For example, if the user operation data currently acquired by the blockchain server 300 is "jintiananqizhenhao" and the corresponding data type is "keyboard operation data", the blockchain server 300 selects the operation mapping table with the table index including the "pinyin letter" from the operation mapping tables stored in the database as the target operation mapping table, and the content of the finally obtained target operation mapping table can refer to fig. 3.

It should be noted that the operation mapping table shown in fig. 3 is limited by space, and the index of two dimensions only presents partial letters, but because partial letters in the "english letter" and the "pinyin letter" overlap, if the user operation data obtained by the blockchain server 300 only includes partial overlapping letters, there may be a situation that the target operation mapping table cannot be accurately searched, so the embodiment proposes: when the user operation data only includes the overlapping letters, the blockchain server 300 may obtain an operation mapping table with an index including the overlapping letters as a target operation mapping table; when the user operation data includes not only the overlapping letters but also the pinyin letters (e.g., ai, ei, ui, ao, ou, iu, zh, ch, sh, etc.) other than the overlapping letters, the block chain server 300 needs to further screen out the operation mapping table in which the index is actually the pinyin letters as the target operation mapping table, but does not exclude the case that the finally obtained target operation mapping table includes special characters in addition to the overlapping letters or the pinyin letters. The target operation mapping table acquisition step involved in the present embodiment will be further described in detail in the following embodiments.

In one embodiment, this step includes: determining the data type of the user operation data; if the data type is keyboard operation data, acquiring a pre-stored first operation mapping table as the target operation mapping table, wherein M dimensional indexes in the first operation mapping table are English letters and/or special characters, and M is more than or equal to 2; and if the data type is the painting brush operation data, acquiring a pre-stored second operation mapping table as the target operation mapping table, wherein N dimensional indexes in the second operation mapping table are at least one of the starting and stopping positions of the painting brush, the rotating angle of the pen point and the color selected by the painting brush, and N is more than or equal to 2.

Specifically, in this embodiment, only the step of how to obtain the target operation mapping table when the data type of the user operation data is the keyboard operation data or the brush operation data is described in detail, that is, the blockchain server 300 may analyze the index types of the operation mapping tables to obtain the operation mapping table in which the index type is consistent with the data type and the index characters are greater than or equal to the characters corresponding to the user operation data, as the correct target operation mapping table.

It should be noted that the target operation mapping table finally obtained by the blockchain server 300 may only exist one or may exist multiple, and the actual obtained number of the target operation mapping tables is determined by the service requirement.

In one embodiment, after the determining the data type of the user operation data, the method further includes: classifying the pre-stored operation mapping tables to obtain non-idle operation mapping tables and/or idle operation mapping tables; if the pre-stored operation mapping table comprises the non-null operation mapping table, determining the non-null operation mapping table as a candidate operation mapping table required for obtaining the target operation mapping table; and if the pre-stored operation mapping table does not comprise the non-null operation mapping table, determining the null operation mapping table as the target operation mapping table.

The non-null operation mapping table may refer to an operation mapping table in which an index exists and expansion data corresponding to the index also exists; the null operation mapping table may refer to an operation mapping table in which an index does not exist or inflation data corresponding to the index does not exist. For example, the two-dimensional table shown in fig. 3 is a non-null operation mapping table, and both the index and the inflation data of the record corresponding to the index exist.

Specifically, the present embodiment will explain in detail how the block chain server 300 should execute the following steps when the pre-stored operation mapping table has an empty table and the target operation mapping table corresponding to the data type cannot be accurately screened out, that is, the following steps are executed: before obtaining the target operation mapping table, the blockchain server 300 first needs to classify the pre-stored operation mapping table according to the size of the data amount of the mapping table (e.g., 0KB, 132KB, 1M, etc.), or whether a placeholder of the mapping table exists. As will be appreciated by those skilled in the art, the placeholder is a symbol for holding a fixed position to wait for the addition of content, and therefore the embodiment proposes to filter the no-operation mapping table by using the placeholder.

For example, an operation mapping table with a data size greater than 0KB is divided into a non-null operation mapping table, and an operation mapping table with a data size equal to 0KB is divided into a null operation mapping table; for another example, the operation mapping table containing the placeholder is divided into a null operation mapping table, and the operation mapping table not containing the placeholder is divided into a non-null operation mapping table. Therefore, the blockchain server 300 may preferentially filter out the non-null operation mapping table as the candidate operation mapping table when obtaining the target operation mapping table, so as to query the first operation mapping table or the second operation mapping table in the candidate operation mapping table. And if the non-null operation mapping table does not exist, determining the null operation mapping table as a target operation mapping table for subsequent processing.

In one embodiment, after the determining the data type of the user operation data, the method further includes: if the candidate operation mapping table does not comprise the first operation mapping table, determining the idle operation mapping table as a target operation mapping table corresponding to the keyboard operation data; and if the candidate operation mapping table does not comprise the second operation mapping table, determining the idle operation mapping table as a target operation mapping table corresponding to the painting brush operation data.

Specifically, on the basis of the foregoing embodiment, this embodiment will describe in detail how the blockchain server 300 should perform the following steps when the pre-stored operation mapping table does not have an empty table but still cannot accurately screen out the target operation mapping table that conforms to the data type, that is, the following steps are performed: if the preliminarily screened candidate operation mapping table does not comprise the first operation mapping table and the data type at the moment is keyboard operation data, the idle operation mapping table can be determined as a target operation mapping table. Similarly, if the preliminarily screened candidate operation mapping table does not include the second operation mapping table, and the data type at this time is the brush operation data, the no-operation mapping table may be determined as the target operation mapping table.

And S203, based on the target operation mapping table, performing inflation processing on the user operation data to obtain processed user operation data.

Specifically, after the blockchain server 300 obtains the target operation mapping table corresponding to the data type of the user operation data, the table can be used as a comparison table of data expansion data to perform expansion operation on the user operation data, that is, the user operation data is used as index data to query a target index correspondingly existing in the target operation mapping table, and further, expansion data corresponding to the target index in the table is used as new data to replace several index data used for querying the target index, so as to obtain the processed user operation data. The data expansion processing steps involved in the present embodiment will be described in detail below.

In one embodiment, the target operation mapping table is a non-null operation mapping table, and the step includes: determining adjacent front L data of each target data in the user operation data based on the index dimension number of the target operation mapping table, wherein L is greater than or equal to 1 and serves as expansion reference data corresponding to the target data; sequentially querying target indexes in the target operation mapping table by using each target data and the corresponding expansion reference data as index data to obtain expansion data corresponding to at least two target indexes in the target operation mapping table; and correspondingly replacing each target data with the expansion data to perform expansion processing on the user operation data to obtain the processed user operation data.

The index dimension number may refer to the dimension number of the target operation mapping table, and each dimension corresponds to a group of indexes, and is therefore referred to as an index dimension number. For example, the operation mapping table shown in fig. 3 has an index dimension number of "2".

The target data may refer to one data currently being processed by the blockchain server 300. For example, "j, i, n" and the like in the user operation data "jintianianqizhenhao" are all target data corresponding to different periods.

The target index may be an index in a table in the target operation mapping table that is the same as index data of the user operation data, and the index data of the user operation data generally includes currently processed target data or includes both the target data and the first L data adjacent to the target data, and the detailed processing steps are referred to below.

Specifically, after the blockchain server 300 obtains the obtained target operation mapping table, if the table is a non-null operation mapping table, the blockchain server 300 performs an expansion process on the user operation data by using a processing procedure of the non-null table, so as to obtain the processed user operation data. Wherein, the processing steps of the non-empty table specifically include: and determining expansion reference data which needs to be replaced together with the target data in the user operation data according to the index dimension number of the currently obtained target operation mapping table, wherein the expansion reference data can be the target data per se or adjacent previous L data of the target data and mainly depends on the index dimension number of the target operation mapping table.

For example, if the index dimension number of the target operation mapping table shown in fig. 3 is "2" and the target data of the user operation data "jintiananqizhenhao" at this time is "j", two bits of data need to be acquired from the user operation data as the target index in the index data lookup table, but there is no adjacent data before "j", so that the target data "j" can be repeatedly acquired to reach the required index number, that is, the inflation reference data of the target data "j" is "j" at this time, and the index data "jj" is formed.

For another example, the index dimension number of the target operation mapping table shown in fig. 3 is "2", and the target data of the user operation data "jintianqinhehao" at this time is "i", two bits of data need to be acquired from the user operation data as the target index in the index data lookup table, and at this time, an adjacent data "j" exists before "i", so that the target data "i" and the expansion reference data thereof are "j" to form the index data "ji" by combining.

For another example, if the index dimension degree of the currently obtained target operation mapping table of the blockchain server 300 is "3" and the target data of the user operation data "jintianqizhenhao" at this time is "j", three-bit data needs to be obtained from the user operation data as the target index in the index data lookup table, but there is no adjacent data before "j", so that the target data "j" can be repeatedly obtained to reach the required index number, that is, the expanded reference data of the target data "j" is "jj", and the index data "jjj" is formed.

For another example, if the index dimension degree of the currently obtained target operation mapping table of the blockchain server 300 is "3" and the target data of the user operation data "jintianquzhehahao" at this time is "n", three bits of data need to be obtained from the user operation data as the target index in the index data lookup table, and there are just two adjacent data "ji" before "n", so that the target data "n" and the inflation reference data thereof are "ji" to be combined to form the index data "jin". Therefore, when no adjacent data exists before the target data or the number of the adjacent data does not meet the index dimension number, the data in the user operation data can be acquired sequentially to form the index data meeting the number requirement.

More specifically, after obtaining the index data of the user operation data, the blockchain server 300 may query the target index in the target operation mapping table by using the index data, so as to determine the expansion data corresponding to the target index, which is used to replace the index data, and obtain the processed user operation data.

For example, the target data of the user operation data "cantian" is the first "a" thereof, the index dimension number shown in fig. 3 is "2", so the inflation reference data of the target data is "ca", the index data is also "ca", the inflation data corresponding to the column "c" row "a" is "fasdfasd", so "ca" can be replaced by "fasdfasd", and after all the target data are finished, the processed user operation data can be obtained. It should be understood by those skilled in the art that, although the foregoing examples illustrate the query sequence of "row" and then "column", the query sequence of "column" and then "row" in other embodiments is not excluded, which may be determined according to actual business requirements, and the embodiments of the present application are not limited.

In addition, although the above examples show that the data length of the inflation data is greater than that of the index data, it is not excluded that the two data lengths are equal in other embodiments or have other size relationships, which may be determined according to actual business requirements, and the embodiments of the present application are not limited thereto.

In one embodiment, the target operation mapping table is a null operation mapping table, and this step includes: determining each dimension index of the target operation mapping table according to the data type of the user operation data and a preset index dimension number, and dividing each data in the user operation data to obtain more than one group of user index data; determining a mapping relation between the user index data and preset expansion data, correspondingly filling the expansion data into the target operation mapping table for updating based on the mapping relation, and obtaining a non-null operation mapping table serving as an updated target operation mapping table; and replacing the user index data in the user operation data with corresponding expansion data based on the updated target operation mapping table so as to perform expansion processing on the user operation data to obtain the processed user operation data.

Specifically, after the blockchain server 300 obtains the obtained target operation mapping table, if the table is the null operation mapping table, the blockchain server 300 performs an expansion process on the user operation data by using a processing step of the null table to obtain the processed user operation data. The processing steps of the empty table specifically comprise: determining index character types of the target operation mapping table in all dimensions according to the data type of the user operation data and a preset index dimension number; furthermore, the user operation data can be divided according to the number of index dimensions to obtain the user index data therein, and the purpose of the user index data is the same as that of the index data mentioned in the above embodiment; further, expansion data capable of replacing the user index data is randomly generated, the expansion data can be randomly selected from preset replacement data according to actual service requirements, and the mapping relation between each pair of user index data and the expansion data associated with the user index data is recorded, so that indexes corresponding to the expansion data are filled into a target operation mapping table to obtain an updated target operation mapping table, namely a non-null operation mapping table; finally, not only the updated target operation mapping table can be obtained, but also the new table can be used for carrying out expansion processing on the user operation data.

It should be noted that, although the above-mentioned operation step of converting the empty table into the non-empty table is after the target operation mapping table is obtained, it is not excluded that in other embodiments, the step may also be an operation for generating a "preset operation mapping table" before the user operation data is obtained.

And S204, processing the user operation data and the processed user operation data according to a preset uplink type of the work so as to carry out uplink processing on the content of the target work.

The composition uplink type can be a composition uplink type preset by an author, and is determined according to the requirement of the composition uplink security. For example, the requirement for security is high, and the hash uplink type can be selected; the security requirements are not high and the original uplink type can be selected.

Specifically, after the user operation data is expanded by the blockchain server 300 to obtain the processed user operation data, uplink processing may be performed on the user operation data and the processed user operation data, that is, data is uploaded to a blockchain network, so as to register an electronic copyright and reserve copyright evidence for subsequent forensics. The number of the processed user operation data corresponds to the number of target operation mapping tables selected for the user operation data one by one, and if the number of the finally selected target operation mapping tables is one, the processed user operation data is only one string; if the number of the finally selected target operation mapping tables is two, the processed user operation data can have two strings which respectively correspond to different target operation mapping tables.

More specifically, the blockchain server 300 may calculate the hash data according to the uplink type of the work preset by the author, the original uplink user operation data and the processed user operation data thereof, or calculate the hash data first, so as to upload the hash data to implement uplink processing on the content of the target work. The work content chaining processing step involved in the present embodiment will now be described in detail below.

In one embodiment, this step includes: when the preset composition chaining type is the original composition chaining, the user operation data and the processed user operation data are packaged to obtain content composition data of the target composition content, and the content composition data and the version data of the target operation mapping table are subjected to the composition chaining operation; when the preset work uplink type is Hash uplink, based on a preset Hash algorithm, calculating the user operation data and the processed user operation data to obtain work Hash data of the target work content, and performing uplink operation on the work Hash data and the version data of the target operation mapping table.

The preset Hash Algorithm includes, but is not limited to, an MD2(Message Digest 2) Algorithm, an MD4(Message Digest 4) Algorithm, an MD5(Message Digest 5) Algorithm, SHA-1(Secure Hash Algorithm), and the like, and the finally selected Algorithm may be determined according to actual service requirements.

The version data of the target operation mapping table may refer to a version number attached to the target operation mapping table when the target operation mapping table is generated, and is used for quickly locking a mapping table used in an earlier stage when the copyright of a work is verified subsequently, so that standard target work content is translated, and thus the self-certified writer is a right owner of the work.

Specifically, when the preset work uplink type is the original text uplink, the blockchain server 300 may pack the user operation data and the processed user operation data thereof as the content composition data of the target work content, and further record the content composition data and the version data in the blockchain network for uplink operation;

more specifically, when the preset work uplink type is hash uplink, the blockchain server 300 may calculate the currently obtained user operation data and the processed user operation data thereof based on a preset hash algorithm, so as to obtain work hash data of the target work content, and further perform uplink operation on the work hash data and the version data of the target operation mapping table.

According to the work content chaining processing method, the blockchain server further obtains the target operation mapping table required by chaining of the target work content by obtaining the user operation data correspondingly generated in the creation process of the target work content, so that expansion processing is performed on the user operation data based on the data recorded in the mapping table, the number of the user operation data is expanded, and the difficulty of stealing the work is increased. By adopting the method, not only is the length safety control of the content data contained in the works realized, but also the record is reserved for the characteristics of the creation habits of the users, meanwhile, an effective way is provided for the self-certification of the copyright of the works, and finally, the uplink safety of the content of the works is effectively improved.

In order to better implement the uplink-of-work processing method in the embodiment of the present application, based on the uplink-of-work processing method, an uplink-of-work processing apparatus is further provided in the embodiment of the present application, as shown in fig. 4, the uplink-of-work processing apparatus 400 includes:

a first obtaining module 410, configured to obtain user operation data that is correspondingly generated in an authoring process of target work content;

a second obtaining module 420, configured to obtain a corresponding pre-stored target operation mapping table according to the data type of the user operation data;

a first processing module 430, configured to perform inflation processing on the user operation data based on the target operation mapping table to obtain processed user operation data;

a second processing module 440, configured to process the user operation data and the processed user operation data according to a preset uplink type of the work, so as to perform uplink processing on the content of the target work.

In some embodiments of the present application, the second obtaining module is further configured to determine a data type of the user operation data; if the data type is keyboard operation data, acquiring a pre-stored first operation mapping table as the target operation mapping table, wherein M dimensional indexes in the first operation mapping table are English letters and/or special characters, and M is more than or equal to 2; and if the data type is the painting brush operation data, acquiring a pre-stored second operation mapping table as the target operation mapping table, wherein N dimensional indexes in the second operation mapping table are at least one of the starting and stopping positions of the painting brush, the rotating angle of the pen point and the color selected by the painting brush, and N is more than or equal to 2.

In some embodiments of the present application, the second obtaining module is further configured to classify a pre-stored operation mapping table to obtain a non-idle operation mapping table and/or an idle operation mapping table; if the pre-stored operation mapping table comprises the non-null operation mapping table, determining the non-null operation mapping table as a candidate operation mapping table required for acquiring the target operation mapping table; and if the pre-stored operation mapping table does not comprise the non-null operation mapping table, determining the null operation mapping table as the target operation mapping table.

In some embodiments of the present application, the second obtaining module is further configured to determine, if the candidate operation mapping table does not include the first operation mapping table, the no-operation mapping table as a target operation mapping table corresponding to the keyboard operation data; and if the candidate operation mapping table does not comprise the second operation mapping table, determining the idle operation mapping table as a target operation mapping table corresponding to the painting brush operation data.

In some embodiments of the application, the target operation mapping table is a non-null operation mapping table, the first processing module is further configured to determine, based on an index dimension number of the target operation mapping table, previous L adjacent data of each target data in the user operation data as expansion reference data corresponding to the target data, where L is greater than or equal to 1; sequentially querying target indexes in the target operation mapping table by taking each target data and the corresponding expansion reference data thereof as index data to obtain expansion data corresponding to at least two target indexes in the target operation mapping table; and correspondingly replacing each target data with the expansion data so as to perform expansion processing on the user operation data to obtain the processed user operation data.

In some embodiments of the present application, the target operation mapping table is a null operation mapping table, and the first processing module is further configured to determine each dimension index of the target operation mapping table according to a data type of the user operation data and a preset index dimension number, and divide each data in the user operation data to obtain more than one group of user index data; determining a mapping relation between the user index data and preset expansion data, and correspondingly filling the expansion data into the target operation mapping table for updating based on the mapping relation to obtain a non-null operation mapping table serving as an updated target operation mapping table; and replacing the user index data in the user operation data with corresponding expansion data based on the updated target operation mapping table so as to perform expansion processing on the user operation data to obtain the processed user operation data.

In some embodiments of the present application, the second processing module is further configured to, when a preset type of work uplink is an original uplink, package the user operation data and the processed user operation data to obtain content composition data of the target work content, and perform uplink operation on the content composition data and version data of the target operation mapping table; when the preset work uplink type is Hash uplink, based on a preset Hash algorithm, calculating the user operation data and the processed user operation data, obtaining the work Hash data of the target work content, and performing uplink operation on the work Hash data and the version data of the target operation mapping table.

In the above embodiment, the blockchain server further obtains the target operation mapping table required by the chaining of the target work by obtaining the user operation data correspondingly generated in the authoring process of the target work content, so as to perform inflation processing on the user operation data based on the data recorded in the mapping table, thereby expanding the number of the user operation data and increasing the difficulty of stolen works. By adopting the method, not only is the length safety control of the content data contained in the works realized, but also the record is reserved for the characteristics of the creation habits of the users, meanwhile, an effective way is provided for the copyright self-certification of the works, and finally, the uplink safety of the content of the works is effectively improved.

For the specific definition of the chain processing device for the content of the work, reference may be made to the above definition of the chain processing method for the content of the work, and details are not described herein again. The modules in the chain processing device for the work content can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the uplink content processing equipment of the work, and can also be stored in a memory in the uplink content processing equipment of the work in a software form, so that the processor can call and execute the corresponding operations of the modules.

In some embodiments of the present application, the uplink of work content processing apparatus 400 may be implemented in the form of a computer program that is executable on a uplink of work content processing device as shown in FIG. 5. The memory of the uplink content processing device may store various program modules constituting the uplink content processing apparatus 400, such as the first obtaining module 410, the second obtaining module 420, the first processing module 430 and the second processing module 440 shown in fig. 4. The computer program is composed of program modules, and can make the processor execute the steps described in this specification, i.e. the steps in the method for processing the uplink content of the work according to the embodiments of the present application.

For example, the uplink content processing apparatus in fig. 5 can execute the step S201 through the first obtaining module 410 in the uplink content processing apparatus 400 in fig. 4. The uplink content processing device can execute step S202 through the second obtaining module 420. The composition uplink processing apparatus can execute step S203 through the first processing module 430. The uplink processing device for the work content can execute step S204 through the second processing module 440. The chain processing device for the work content comprises a processor, a memory and a network interface which are connected through a system bus. Wherein the processor of the chain processing device is configured to provide computing and control capabilities. The memory of the chain processing device for the work content includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The network interface of the chain processing equipment for the content of the work is used for communicating with an external computer device through network connection. The computer program is executed by a processor to implement a method for uplink processing of content of a work.

Those skilled in the art will appreciate that the structure shown in fig. 5 is only a block diagram of a part of the structure related to the present application, and does not constitute a limitation of the chain processing apparatus on the content of the work to which the present application is applied. In particular, the chain processing equipment may include more or fewer components than shown in the figures, or some components may be combined, or have a different arrangement of components.

In some embodiments of the present application, there is provided a chain of content processing apparatus for a composition, comprising one or more processors; a memory; and one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to perform the steps of the method for uplink content processing of a work. The steps of the method for processing a work content uplink may be the steps of the method for processing a work content uplink in the above embodiments.

In some embodiments of the present application, a computer-readable storage medium is provided, which stores a computer program, and the computer program is loaded by a processor, so that the processor executes the steps of the above-mentioned chain-of-contents processing method for a work. The steps of the work content uplink processing method herein may be the steps of the work content uplink processing methods of the above embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above detailed description is provided for a method, an apparatus, a computer device and a storage medium for chain processing of work content, which are provided by the embodiments of the present application, and specific examples are applied herein to illustrate the principles and implementations of the present invention, and the description of the above embodiments is only used to help understanding the method and core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for uplink processing of content of a work, the method comprising:

acquiring user operation data correspondingly generated in the authoring process of target work content;

if the preset composition uplink type is the original composition uplink, packaging the user operation data and the processed user operation data to obtain content composition data of the target composition content, and performing uplink operation on the content composition data and version data of the target operation mapping table;

the step of obtaining a corresponding pre-stored target operation mapping table according to the data type of the user operation data includes:

if the data type of the user operation data is keyboard operation data, acquiring a pre-stored first operation mapping table as the target operation mapping table, wherein M dimensional indexes in the first operation mapping table are English letters and/or special characters, and M is more than or equal to 2;

and if the data type of the user operation data is the painting brush operation data, acquiring a pre-stored second operation mapping table as the target operation mapping table, wherein N dimensional indexes in the second operation mapping table are at least one of a painting brush start-stop position, a pen point rotation angle and a painting brush selected color, and N is more than or equal to 2.

2. The method for uplink processing of work content of claim 1, wherein the step of obtaining a corresponding pre-stored target operation mapping table according to the data type of the user operation data further comprises:

3. The method of processing a chain of work content of claim 2, further comprising:

and if the candidate operation mapping table does not comprise the second operation mapping table, determining the no-operation mapping table as a target operation mapping table corresponding to the painting brush operation data.

4. The method for uplink processing of work content of claim 1, wherein the target operation mapping table is a non-null operation mapping table, and the step of performing dilation processing on the user operation data based on the target operation mapping table to obtain processed user operation data comprises:

determining adjacent front L data of each target data in the user operation data based on the index dimension number of the target operation mapping table, wherein the adjacent front L data serve as expansion reference data corresponding to the target data, and L is more than or equal to 1;

and correspondingly replacing each target data with the expansion data so as to perform expansion processing on the user operation data to obtain the processed user operation data.

5. The method for uplink processing of work content of claim 1, wherein the target operation mapping table is a null operation mapping table, and the step of performing dilation processing on the user operation data based on the target operation mapping table to obtain processed user operation data comprises:

determining a mapping relation between the user index data and preset expansion data, correspondingly filling the expansion data into the target operation mapping table for updating based on the mapping relation, and obtaining a non-null operation mapping table as an updated target operation mapping table;

6. The method of processing a chain of work content of claim 1, further comprising:

and if the preset work uplink type is Hash uplink, calculating the user operation data and the processed user operation data based on a preset Hash algorithm to obtain work Hash data of the target work content, and performing uplink operation on the work Hash data and the version data of the target operation mapping table.

7. An apparatus for processing a chain of content of a work, the apparatus comprising:

the first acquisition module is used for acquiring user operation data which is correspondingly generated in the authoring process of the target work content;

a second obtaining module, configured to obtain a pre-stored first operation mapping table as the target operation mapping table if the data type of the user operation data is keyboard operation data, where M dimensional indexes in the first operation mapping table are english letters and/or special characters, and M is greater than or equal to 2; if the data type of the user operation data is painting brush operation data, acquiring a pre-stored second operation mapping table as the target operation mapping table, wherein N dimensional indexes in the second operation mapping table are at least one of painting brush start and stop positions, pen point rotation angles and painting brush selected colors, and N is more than or equal to 2;

and the second processing module is used for packaging the user operation data and the processed user operation data to obtain content composition data of the target work content if the preset work uplink type is the original uplink, so as to perform uplink operation on the content composition data and the version data of the target operation mapping table.

8. An apparatus for uplink processing of content of a work, the apparatus comprising:

one or more processors;

a memory; and one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the method of uplink content processing for a work of any of claims 1-6.

9. A computer-readable storage medium, having stored thereon a computer program which is loaded by a processor to perform the steps of the method for uplink processing of work content as claimed in any one of claims 1 to 6.