CN111539693A - Block chain-based data tamper-proof assessment method - Google Patents
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Abstract
The invention discloses a block chain-based data tamper-proof assessment method, which comprises the following steps: the central node calls a task recording file chain from the central node and the branch nodes, the task recording file chain comprises a plurality of task recording files which are sequentially associated according to the generation time, and each task recording file comprises a task identification record, a completing person record and a version number record; finding out task data corresponding to each task recording file based on the task identification records; matching the task data with the corresponding version number records and classifying the task record files based on the matching result; the contribution of each completed person is calculated. In the invention, each node completely stores the task recording file, thereby ensuring that the task recording file chain has good anti-tampering performance, and because of adopting a time sequence chain storage mode, the invention keeps the finish record before the modified file, considers all the paid work when calculating the contribution degree, and ensures the accuracy of the contribution degree.
Description
Technical Field
The invention relates to the field of computers, in particular to a block chain-based data tamper-proof assessment method.
Background
Cooperative work means that a plurality of persons complete one or more items together. In some works, there are a plurality of identical or similar tasks, which can be performed by a plurality of different people, such as bill of material building of a manufacturing enterprise, BUG repairing of an operation and maintenance department, art design in game development, etc., and each task in the works is not exactly identical but has close properties, so that workers with the same skills can complete the works.
In the existing enterprise management process, two ways are usually adopted to accomplish such work: (1) the management method has the advantages that a plurality of workers are arranged to work together, the performance or the reward of each worker is the same, the management mode is backward, and the enthusiasm of the workers with higher efficiency cannot be effectively driven. (2) And arranging a plurality of personnel to process work together, recording the workload completed by each employee, and calculating the performance or reward of the employee according to the workload. However, in a large project, due to the fact that the number of tasks is extremely large, error-recording and omission-recording situations are prone to occur in the process of recording tasks completed by staff, and a conventional recording and storing mode is prone to being tampered, so that disputes occur.
Therefore, how to accurately assess the contribution of the staff in the collaborative work project becomes a problem which needs to be solved urgently by the technical personnel in the field.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems actually solved by the invention are as follows: and accurately checking the contribution of the staff in the collaborative work project.
The invention adopts the following technical scheme:
a data tamper-proofing assessment method based on a block chain comprises the following steps:
s1, the central node calls a task record file chain from the central node and the branch nodes, the task record file chain comprises a plurality of task record files which are sequentially associated according to the generation time, and each task record file comprises a task identification record, a completing person record and a version number record, so that the task record file chain has good anti-tampering performance;
s2, finding out task data corresponding to each task record file based on the task identification records;
s3, matching the task data with the corresponding version number records and classifying the task record files based on the matching result;
and S4, counting the number of the task recording files of each category corresponding to each completing person and calculating the contribution degree of each completing person.
Preferably, invoking the task log file chain comprises:
the central node acquires task record file chains of the central node and all branch nodes;
comparing and matching corresponding task record files in all task record file chains, and dividing the task record files which correspond to each other in position and have the same content in the task record file chains into a group;
and when any group meets the preset condition, taking any task recording file in the group as a task recording file in the called task recording file chain.
Preferably, the step of judging whether any group meets the preset condition comprises the following steps:
when the ratio of the number of the task recording files in any group to the number of the corresponding task recording files in all the task recording file chains is more than one half, judging that the group meets the preset condition;
when the ratio of the number of the task recording files in any group to the number of the corresponding task recording files in all the task recording file chains is less than or equal to one half, taking the group with the largest number of the task recording files in the group as the group meeting the preset condition;
and when the number of the task recording files of at least two groups is the same, taking the group comprising the task recording files of the central node as a group meeting a preset condition.
Preferably, step S3 includes:
inquiring the version number of the task data;
when the version number of the task data is the same as the version number record of the corresponding task recording file and no task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a first type of task recording file;
when the version number of the task data is the same as the version number record of the corresponding task recording file and a task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a second type of task recording file;
when the version number of the task data is different from the version number of the corresponding task recording file and no task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a third type of task recording file;
and when the version number of the task data is different from the version number of the corresponding task recording file and a task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a fourth type of task recording file.
Preferably, the contribution of the ith task completion person is calculated as follows:
in the formula, KiThe contribution of the person for the ith task to complete,
the number of class j task log files for the ith task to complete,
and finishing the preset contribution weight of the jth class task record file for the ith task, wherein j is 1,2,3, …, n and n are the number of the classes of the task record files.
Preferably, the method for generating the task record file chain of the central node includes:
issuing task lists to all branch nodes;
receiving task data sent by a branch node and an identity of the branch node;
storing the task data;
receiving a task recording file sent by a branch node;
when the task identification record of the task recording file is matched with the stored task data and the completing person record of the task recording file is matched with the identity identification of the branch node, storing the task recording file;
generating a confirmation file corresponding to the task recording file and sending the confirmation file to other branch nodes;
updating the task list;
correspondingly, the method for generating the task record file chain of the branch node comprises the following steps:
receiving a task list issued by a central node;
receiving task data input by a user;
sending task data and an identity thereof to a central node;
generating a task recording file;
storing and issuing the task recording file to a central node and other branch nodes;
when receiving task recording files sent by other branch nodes and receiving corresponding confirmation files sent by the central node, storing the task recording files sent by other branch nodes;
and updating the task list.
Preferably, the method further comprises the following steps:
all nodes periodically and randomly select one or more other nodes as detection nodes;
acquiring a task recording file chain of a detection node;
when the task recording file in the task recording file chain of the detection node is different from the task recording file of the detection node;
generating a verification request comprising different task recording files and sending the verification request to all other nodes except the detection node;
the node feedback receiving the verification request comprises a verification reply of the task recording file corresponding to the node and different task recording files;
the node receiving the feedback and/or the detection point with different task record files modifies the own task record file based on the verification reply.
Preferably, the node receiving the feedback and/or the detection point having a different task record file modifies its task record file based on the verification reply includes:
and confirming the correct task recording file based on the verification reply, wherein the node and/or the detection point which receives the feedback and has the task recording file which does not accord with the correct task recording file replaces the task recording file which does not accord with the correct task recording file by the correct task recording file.
Preferably, the same task record files in all verification replies are grouped;
when the ratio of the number of the task recording files in any group to the number of the task recording files in all the verification replies is more than one half, judging the task recording files in the group as correct task recording files;
when the ratio of the number of the task recording files in any group to the number of the task recording files in all the verification replies is more than one half, taking the task recording file of the group with the largest number of the task recording files in the group as a correct task recording file;
and when the number of the task recording files of at least two groups is the same, taking the task recording file of the central node as a correct task recording file.
Compared with the prior art, the invention has the following technical effects:
the invention stores the task data with larger occupied space in a central node in a centralized way, and stores the data which occupies smaller space and records the contribution of each employee to the task completion in a distributed way by using a block chain technology, each node stores the task recording file completely, because the task recording file chain called by the central node comes from different nodes, the authenticity of the data is ensured, even if the data of part of the nodes is distorted, the final result can not be influenced, the task recording file chain has good anti-distortion performance, and simultaneously, the contribution record is not easy to lose and distort, and because of adopting a time sequence chain storage mode, the complete record before the modified file is reserved, all the paid work is considered when the contribution degree is calculated, and the accuracy of the contribution degree is ensured.
Drawings
For purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made in detail to the present invention as illustrated in the accompanying drawings, in which:
FIG. 1 is a flow chart of a block chain-based data tamper-proofing assessment method disclosed by the invention;
FIG. 2 is a flowchart of a task recording file chain calling in a block chain-based data tamper-proofing assessment method disclosed by the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the invention discloses a data tamper-proofing assessment method based on a block chain, which comprises the following steps:
s1, the central node calls a task record file chain from the central node and the branch nodes, the task record file chain comprises a plurality of task record files which are sequentially associated according to the generation time, and each task record file comprises a task identification record, a completing person record and a version number record, so that the task record file chain has good anti-tampering performance;
s2, finding out task data corresponding to each task record file based on the task identification records;
s3, matching the task data with the corresponding version number records and classifying the task record files based on the matching result;
and S4, counting the number of the task recording files of each category corresponding to each completing person and calculating the contribution degree of each completing person.
In the invention, the central node can be a central processing unit, and the branch nodes can be computers of all the working personnel performing the cooperative work. Compared with the prior art, the task data with large occupied space is stored in a centralized mode in the central node, the data which is used for recording the contribution of each employee to the completion of the task and has small occupied space is stored in a distributed mode by using the block chain technology, and the task contribution recording file is completely stored in each node. The task recording file chain called by the central node is from different nodes, so that the authenticity of data is ensured, the final result cannot be influenced even if the data of part of the nodes are falsified, the task recording file chain is ensured to have good falsification-preventing performance, the contribution records are ensured not to be lost easily and falsified easily, and the safety of the recorded data is also ensured on the premise of accurately recording the contributions of different employees in the cooperative working process. And moreover, due to the adoption of a time-sequential chain storage mode, the completion records before the modified files are reserved, all paid work is considered during contribution degree calculation, and the accuracy of the contribution degree is ensured.
As shown in fig. 2, in specific implementation, the invoking of the task log file chain includes:
the central node acquires task record file chains of the central node and all branch nodes;
comparing and matching corresponding task record files in all task record file chains, and dividing the task record files which correspond to each other in position and have the same content in the task record file chains into a group;
and when any group meets the preset condition, taking any task recording file in the group as a task recording file in the called task recording file chain.
In specific implementation, the step of judging whether any group meets the preset conditions comprises the following steps:
when the ratio of the number of the task recording files in any group to the number of the corresponding task recording files in all the task recording file chains is more than one half, judging that the group meets the preset condition;
when the ratio of the number of the task recording files in any group to the number of the corresponding task recording files in all the task recording file chains is less than or equal to one half, taking the group with the largest number of the task recording files in the group as the group meeting the preset condition;
and when the number of the task recording files of at least two groups is the same, taking the group comprising the task recording files of the central node as a group meeting a preset condition.
In order to prevent the task log files in the task log file chains of some nodes from being tampered, in the invention, the task log file chain for calculating the contribution degree, which is called before the contribution degree calculation, needs to be determined according to the task log file chains of all the branch nodes. Assuming that each task record file chain comprises N task record files, taking the first task record file as an example, the first task record file meeting the preset condition in all the first task record files is taken as the first task record file in the finally called task record file chain for calculating the contribution degree. Judging whether the preset conditions are met or not, adopting a step-by-step judgment process, and taking the task recording files occupying most of the tasks as the finally called files when the same task recording files occupying most of the tasks exist; otherwise, the same task recording file with the largest quantity is used as the finally called file; and if a plurality of groups of the same task recording files with the largest quantity exist, the task recording files comprising the central node are used as the finally called files. Therefore, before the final contribution degree calculation is carried out, the correctness of the task recording file chain is ensured.
In specific implementation, step S3 includes:
inquiring the version number of the task data;
when the version number of the task data is the same as the version number record of the corresponding task recording file and no task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a first type of task recording file;
when the version number of the task data is the same as the version number record of the corresponding task recording file and a task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a second type of task recording file;
when the version number of the task data is different from the version number of the corresponding task recording file and no task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a third type of task recording file;
and when the version number of the task data is different from the version number of the corresponding task recording file and a task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a fourth type of task recording file.
In specific implementation, the contribution degree of the ith task completion person is calculated according to the following formula:
in the formula, KiThe contribution of the person for the ith task to complete,
the number of class j task log files for the ith task to complete,
and finishing the preset contribution weight of the jth class task record file for the ith task, wherein j is 1,2,3, …, n and n are the number of the classes of the task record files.
In the completion and updating of a task, the workload or the final effect which is required to be paid by the initial completion of the task which is not taken as the final version, the initial completion of the task which is taken as the final version, the final modification and the intermediate modification are different, therefore, the invention classifies different task record files of the same task according to different conditions and gives different weights, thus, the calculation of the contribution degree can be more refined and the method is more practical.
In specific implementation, the method for generating the task record file chain of the central node comprises the following steps:
issuing task lists to all branch nodes;
receiving task data sent by a branch node and an identity of the branch node;
storing the task data;
receiving a task recording file sent by a branch node;
when the task identification record of the task recording file is matched with the stored task data and the completing person record of the task recording file is matched with the identity identification of the branch node, storing the task recording file;
generating a confirmation file corresponding to the task recording file and sending the confirmation file to other branch nodes;
updating the task list;
correspondingly, the method for generating the task record file chain of the branch node comprises the following steps:
receiving a task list issued by a central node;
receiving task data input by a user;
sending task data and an identity thereof to a central node;
generating a task recording file;
storing and issuing the task recording file to a central node and other branch nodes;
when receiving task recording files sent by other branch nodes and receiving corresponding confirmation files sent by the central node, storing the task recording files sent by other branch nodes;
and updating the task list.
In the process of completing the cooperative work, there may be a situation that data needs to be modified, and in order to ensure that the work of completing the data before the data is modified is not ignored, in the present invention, each task record file is stored in a chain according to the completion time, for example, the task record files include tasks A, B and C, and the corresponding task record files are a1, B1 and C1. If the tasks A, B and C are completed in sequence, the stored task record files are A1-B1-C1, and if A1 is modified once later, the stored task record files are A1-B1-C1-A2. Thus, although the data of task A has been changed to the subsequent data, the record A1 of the previously completed original data still exists and cannot be worn out, i.e., the labor of the personnel who completed the work of A1 is not ignored, and the subsequent clearing or accountability is facilitated.
When the concrete implementation, still include:
all nodes periodically and randomly select one or more other nodes as detection nodes;
acquiring a task recording file chain of a detection node;
when the task recording file in the task recording file chain of the detection node is different from the task recording file of the detection node;
generating a verification request comprising different task recording files and sending the verification request to all other nodes except the detection node;
the node feedback receiving the verification request comprises a verification reply of the task recording file corresponding to the node and different task recording files;
the node receiving the feedback and/or the detection point with different task record files modifies the own task record file based on the verification reply.
In specific implementation, the modifying the task record file of the node receiving the feedback and/or the detection point having different task record files based on the verification reply includes:
and confirming the correct task recording file based on the verification reply, wherein the node and/or the detection point which receives the feedback and has the task recording file which does not accord with the correct task recording file replaces the task recording file which does not accord with the correct task recording file by the correct task recording file.
When the method is implemented specifically, the same task record files in all verification replies are divided into a group;
when the ratio of the number of the task recording files in any group to the number of the task recording files in all the verification replies is more than one half, judging the task recording files in the group as correct task recording files;
when the ratio of the number of the task recording files in any group to the number of the task recording files in all the verification replies is more than one half, taking the task recording file of the group with the largest number of the task recording files in the group as a correct task recording file;
and when the number of the task recording files of at least two groups is the same, taking the task recording file of the central node as a correct task recording file.
In the invention, each node can periodically and automatically initiate the verification and repair work of the task record file.
In the verification and repair work, the task recording file of any node can be randomly extracted and compared with the node, if the task recording files of all the nodes are different from each other, the correct file is confirmed according to the task recording files of all the nodes, and then the repair is carried out according to the correct file, so that the data stability of the task recording file is ensured, and the possibility of causing adverse consequences after the data is tampered is further reduced.
Finally, it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that, while the invention has been described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A data tamper-proofing assessment method based on a block chain is characterized by comprising the following steps:
s1, the central node calls a task record file chain from the central node and the branch nodes, the task record file chain comprises a plurality of task record files which are sequentially associated according to the generation time, and each task record file comprises a task identification record, a completing person record and a version number record, so that the task record file chain has good anti-tampering performance;
s2, finding out task data corresponding to each task record file based on the task identification records;
s3, matching the task data with the corresponding version number records and classifying the task record files based on the matching result;
and S4, counting the number of the task recording files of each category corresponding to each completing person and calculating the contribution degree of each completing person.
2. The assessment method for data tamper resistance based on block chains as claimed in claim 1, wherein the calling of the task record file chain comprises:
the central node acquires task record file chains of the central node and all branch nodes;
comparing and matching corresponding task record files in all task record file chains, and dividing the task record files which correspond to each other in position and have the same content in the task record file chains into a group;
and when any group meets the preset condition, taking any task recording file in the group as a task recording file in the called task recording file chain.
3. The assessment method for data tamper resistance based on blockchain as claimed in claim 2, wherein the step of determining whether any group satisfies the preset condition comprises the following steps:
when the ratio of the number of the task recording files in any group to the number of the corresponding task recording files in all the task recording file chains is more than one half, judging that the group meets the preset condition;
when the ratio of the number of the task recording files in any group to the number of the corresponding task recording files in all the task recording file chains is less than or equal to one half, taking the group with the largest number of the task recording files in the group as the group meeting the preset condition;
and when the number of the task recording files of at least two groups is the same, taking the group comprising the task recording files of the central node as a group meeting a preset condition.
4. The assessment method for data tamper-proofing based on blockchain as claimed in claim 1, wherein the step S3 includes:
inquiring the version number of the task data;
when the version number of the task data is the same as the version number record of the corresponding task recording file and no task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a first type of task recording file;
when the version number of the task data is the same as the version number record of the corresponding task recording file and a task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a second type of task recording file;
when the version number of the task data is different from the version number of the corresponding task recording file and no task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a third type of task recording file;
and when the version number of the task data is different from the version number of the corresponding task recording file and a task recording file comprising the same task identification record and an earlier version number record exists, dividing the task recording file into a fourth type of task recording file.
5. The assessment method for data tamper resistance based on blockchain as claimed in any one of claims 1 to 4, wherein the contribution degree of the ith task completion person is calculated according to the following formula:
in the formula, KiThe contribution of the person for the ith task to complete,
the number of class j task log files for the ith task to complete,
and finishing the preset contribution weight of the jth class task record file for the ith task, wherein j is 1,2,3, …, n and n are the number of the classes of the task record files.
6. The assessment method for data tamper resistance based on the blockchain as claimed in claim 1, wherein the method for generating the task record file chain of the central node comprises the following steps:
issuing task lists to all branch nodes;
receiving task data sent by a branch node and an identity of the branch node;
storing the task data;
receiving a task recording file sent by a branch node;
when the task identification record of the task recording file is matched with the stored task data and the completing person record of the task recording file is matched with the identity identification of the branch node, storing the task recording file;
generating a confirmation file corresponding to the task recording file and sending the confirmation file to other branch nodes;
updating the task list;
correspondingly, the method for generating the task record file chain of the branch node comprises the following steps:
receiving a task list issued by a central node;
receiving task data input by a user;
sending task data and an identity thereof to a central node;
generating a task recording file;
storing and issuing the task recording file to a central node and other branch nodes;
when receiving task recording files sent by other branch nodes and receiving corresponding confirmation files sent by the central node, storing the task recording files sent by other branch nodes;
and updating the task list.
7. The assessment method for data tamper resistance based on blockchain as claimed in claim 1, further comprising:
all nodes periodically and randomly select one or more other nodes as detection nodes;
acquiring a task recording file chain of a detection node;
when the task recording file in the task recording file chain of the detection node is different from the task recording file of the detection node;
generating a verification request comprising different task recording files and sending the verification request to all other nodes except the detection node;
the node feedback receiving the verification request comprises a verification reply of the task recording file corresponding to the node and different task recording files;
the node receiving the feedback and/or the detection point with different task record files modifies the own task record file based on the verification reply.
8. The blockchain-based data tamper-proofing assessment method according to claim 7, wherein the nodes receiving the feedback and/or the detection checkpoints having different task record files modifying their task record files based on the verification reply comprises:
and confirming the correct task recording file based on the verification reply, wherein the node and/or the detection point which receives the feedback and has the task recording file which does not accord with the correct task recording file replaces the task recording file which does not accord with the correct task recording file by the correct task recording file.
9. The blockchain-based data tamper-proofing assessment method according to claim 8, wherein the same task record files in all verification replies are grouped;
when the ratio of the number of the task recording files in any group to the number of the task recording files in all the verification replies is more than one half, judging the task recording files in the group as correct task recording files;
when the ratio of the number of the task recording files in any group to the number of the task recording files in all the verification replies is more than one half, taking the task recording file of the group with the largest number of the task recording files in the group as a correct task recording file;
and when the number of the task recording files of at least two groups is the same, taking the task recording file of the central node as a correct task recording file.
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