A secure transmission method and system for drug R&D process data

Abstract

The present application relates to the field of data communication transmission technology, and specifically to a method and system for secure transmission of data in the drug development process, the method comprising: obtaining the degree of file text association of the work log according to the vocabulary matching of the work log of the staff member each day with the file names of all files and the text contents of all text files; obtaining the data association stability of each staff member according to the departmental affiliation of each staff member with other staff members, the degree of similarity of files, and the fluctuation of the degree of file text association of the work log; obtaining the collaborative relevance of the staff member according to the degree of file similarity between the staff member and all other staff members with whom the staff member has a file transfer relationship and the possession of request files; and transmitting the data securely by combining the data association stability and collaborative relevance of the staff member. The present application can improve the security of data transmission in the drug development process.

Description

Technical Field

[0001] The present application relates to the field of data communication transmission technology, and in particular to a method and system for securely transmitting data during a drug development process. Background Art

[0002] The data of the drug development process is mainly divided into data from the drug discovery stage, preclinical research stage, clinical trial stage, drug registration and production stage, involving a large amount of confidential information. Therefore, the security requirements for data transmission during the development process are very high. When the client transmits data to the server, the SSL / TLS protocol will be used to encrypt the communication channel, and the visitor needs to be authenticated in the middle.

[0003] Since there are many people involved and the work content is overlapping, the same data may pass through different staff members, resulting in redundancy in the file management system and increasing the time required for file search. Therefore, in order to ensure transmission efficiency, each worker is usually given relatively large actual permissions to access the node. If a man-in-the-middle attack occurs, it can easily cause data leakage, making the data transmission security in the drug research and development process low. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a method and system for secure transmission of drug R&D process data. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for securely transmitting drug development process data, the method comprising the following steps:

[0006] S1, obtain the daily work logs and various files processed by the client of each staff member during the drug research and development process;

[0007] S2, according to the vocabulary matching between the staff's daily work log and the file names of all files and the text contents of all text files, the degree of file text association of the work log is obtained;

[0008] S3, obtain the subordinate departments of each staff member; obtain the process relevance of each staff member based on the departmental affiliation of each staff member with other staff members and the similarity of the files; and obtain the data relevance stability of each staff member by comprehensively analyzing the process relevance of each staff member for all days and the fluctuation of the file text relevance of the work log;

[0009] S4, based on the similarity between the staff and all other staff with whom the staff has file transfer relations and the possession of request-type files, obtain the staff's collaborative relevance; comprehensively consider the staff's data association stability and collaborative relevance to obtain the staff's node credibility; and securely transmit data based on the staff's node credibility.

[0010] Furthermore, the degree of association between the file text of the work log is obtained by matching the vocabulary of the work log of the staff with the file names of all files and the text contents of all text files on a daily basis, including:

[0011] Perform word segmentation on each work log to obtain the log vocabulary of each work log; perform word segmentation on the file name of each file to obtain the representative vocabulary of each file; for the text files in all files, perform word segmentation on the text content of each text file to obtain the vocabulary set of each text file;

[0012] If the mth log word in the work log exists in all the representative words of all the files, the value of the label matching function of the mth log word in the work log is 1, otherwise it is 0;

[0013] If the mth log word in the work log exists in the vocabulary of all text files, the content matching function of the mth log word in the work log has a value of 1, otherwise it is 0;

[0014] For any day, the document text correlation degree of the work log is obtained according to the label matching function and content matching function of all log words in the work log.

[0015] Further, the step of obtaining the document text correlation degree of the work log according to the label matching function and the content matching function of all log words in the work log includes: recording the document text correlation degree of the work log as P, ;in, Indicates the number of log words in all log words of the work log whose sum of label matching function and content matching function is greater than 0; The number of log words representing the work log; represents the value of the label matching function of the mth log word in the work log; Represents the value of the content matching function for the mth log word in the work log.

[0016] Furthermore, the process relevance of each staff member is obtained according to the department affiliation of each staff member with other staff members and the similarity of the files, including:

[0017] The number of identical files between each worker and all files of other workers is used as the association value between each worker and other workers;

[0018] The staff members who have a file transfer relationship with each staff member are recorded as the related staff members of each staff member; if the subordinate department of a staff member has a subordinate relationship with the subordinate departments of its related staff members, the value of the process specification function of the staff member is 1, otherwise it is 0;

[0019] The process relevance of each staff member is obtained by combining the association value of each staff member and all related personnel and the process specification function.

[0020] Furthermore, the process relevance of each staff member is obtained by integrating the association value of each staff member and all related staff members and the process specification function, including:

[0021] Calculate the sum of the association values ​​of each staff member and all his / her related personnel; use the ratio of the association value of each staff member and each of his / her related personnel to the sum as the association weight of each staff member and each of his / her related personnel; use the association weight of each staff member and each of his / her related personnel as the weight, calculate the weighted average of the process specification function of each staff member and all of his / her related personnel, and obtain the process relevance of each staff member.

[0022] Furthermore, the calculation method of the data association stability of each staff member includes:

[0023]

[0024] in, Indicates the data association stability of the staff; It represents the mean value of the document text correlation of the staff member’s work logs for all days; Indicates the total number of days; Indicates the degree of relevance of the file text in the work log of the staff member on day t; represents the mean of the process correlations for all days; It represents the process correlation of the staff on the tth day; exp() is an exponential function with a natural constant as the base; norm[] is a linear normalization function.

[0025] Furthermore, the method for obtaining the collaborative relevance of the staff member includes:

[0026] For each staff member, obtain the ratio of the number of related persons who have request-type files among all the staff member's related persons to the number of all the staff member's related persons, and record it as the staff member's association ratio; calculate the product of the sum of the association values ​​between the staff member and all his related persons who have request-type files and the association ratio, and record it as the staff member's collaborative correlation.

[0027] Furthermore, the data association stability and collaborative relevance of the comprehensive staff are used to obtain the node credibility of the staff, which specifically includes:

[0028] The product of the worker's data association stability and the collaborative correlation is taken as the worker's node credibility.

[0029] Furthermore, the secure transmission of data according to the node credibility of the worker includes: when the node credibility of the worker is greater than a preset threshold, data is transmitted to a client corresponding to the worker.

[0030] In a second aspect, an embodiment of the present application also provides a secure transmission system for drug development process data, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned methods for secure transmission of drug development process data when executing the computer program.

[0031] This application has at least the following beneficial effects:

[0032] This application analyzes the security issues of data transmission during the drug research and development process. First, it analyzes the characteristics that the content and sequence of files uploaded or downloaded by staff during the drug research and development process are usually closely related to the work log. A correlation analysis is performed on the work logs and related data of all staff members to obtain the degree of file text correlation, which reflects the correlation between the files processed by the staff and the work log in the drug research and development process; further analyzes the correlation of file transfers between different departments in the research and development process over a period of time, calculates the data correlation stability, and reflects the stability of the correlation between the files processed by the staff and the work log over a continuous period of time; further combined with the characteristics of work correlation and similar content between staff members, the correlation of requested files is analyzed, the credibility of the corresponding nodes of the staff members is comprehensively determined, and the client's identity authentication is completed, which is conducive to improving the security of drug research and development data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 A flowchart of a method for securely transmitting drug development process data provided in accordance with an embodiment of the present application;

[0035] Figure 2 A drug flow network diagram is provided for one embodiment of the present application. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0038] The following is a detailed description of a method and system for securely transmitting drug R&D process data provided by the present application in conjunction with the accompanying drawings.

[0039] See also Figure 1 , which shows a flowchart of a method for securely transmitting drug R&D process data provided by an embodiment of the present application, the method comprising the following steps:

[0040] S1, obtain the daily work logs and various files processed by the client of each staff member in the drug research and development process.

[0041] Obtain the files uploaded and downloaded by the clients of all staff involved in the drug development process every day within one month, as well as the daily work logs; all files contain several types of files, and the files with the same suffix are recorded as the same type of files. For example, all files with the suffix .txt are the same type of files.

[0042] In order to solve the problem of low security of drug development process data due to overlapping content during the verification process, this embodiment analyzes the staff's own data and the connections between the staff, and determines whether to transmit data based on the credibility of the staff's client.

[0043] S2, according to the vocabulary matching between the staff's daily work log and the file names of all files and the text contents of all text files, the file text association degree of the work log is obtained.

[0044] During the drug development process, the content and order of files uploaded or downloaded by staff are usually closely related to the work log. For each client node, to determine whether the node is trustworthy, it is necessary to analyze whether the node's request meets the characteristics of the node itself. For example, if a node requests to download a file, if the requested file has a strong correlation with the node's historical uploads and downloads, then the node is highly trustworthy. At the same time, for the staff corresponding to the node, the correlation of historical files also represents the staff's own credibility.

[0045] Therefore, this embodiment first analyzes the correlation between the files processed by the staff in the drug development process, as well as the correlation between the historical files and the work log. Specifically, due to the variety of file types, there are text files, images, three-dimensional models and other files. The work log and text files can be matched by characters, and the other types of files can be matched according to the file name and file type, so as to obtain the correlation between the staff's work log and historical files according to the matching situation.

[0046] First, each work log is segmented to obtain the log vocabulary of each work log; the file name of each file is segmented to obtain the representative vocabulary of each file. For the text files in all files, the text content of each text file is segmented to obtain the vocabulary set of each text file; the text file is a file with a suffix of .txt, .csv or .xml. Among them, this embodiment uses a two-way maximum matching algorithm for word segmentation. The two-way maximum matching algorithm is a well-known technology and will not be described in detail.

[0047] The degree of file text association of the client work log of the staff member every day is further calculated; if the mth log word in the work log exists in all representative words of all files, the value of the label matching function of the mth log word in the work log is 1, otherwise it is 0; if the mth log word in the work log exists in the vocabulary of all text files, the value of the content matching function of the mth log word in the work log is 1, otherwise it is 0;

[0048] Since the work content and work processes of the staff are similar, if similar staff have the same request, the credibility of this node is higher. The correlation between the work log and the historical file of the staff represents the credibility of the staff. When the content of the work log completely covers the corresponding historical file, the credibility of the staff is relatively higher. Further, for any day, the file text correlation degree of the work log is obtained based on the label matching function and content matching function of all log words in the work log.

[0049] As an embodiment of the present application, the calculation formula for the file text association degree of the work log is:

[0050]

[0051] in, Indicates the degree of relevance of the file text in the work log; Indicates the number of log words in all log words of the work log whose sum of label matching function and content matching function is greater than 0; The number of log words representing the work log; represents the value of the label matching function of the mth log word in the work log; Represents the value of the content matching function for the mth log word in the work log.

[0052] The label matching function reflects the matching between the work log and the file name. The larger the value of the label matching function, the more files that match the work log. The content matching function reflects the matching between the work log and the text file content. The larger the value of the content matching function, the more file content that matches the work log. Indicates the proportion of matching log words in all log words. The larger the proportion, the more relevant the word is to the file, the greater the degree of association of the final file text, and the stronger the correlation between the work log and all files.

[0053] S3, obtain the subordinate department of each staff member; obtain the process relevance of each staff member based on the departmental affiliation of each staff member with other staff members and the similarity of the files; and obtain the data association stability of each staff member by comprehensively analyzing the process relevance of each staff member for all days and the fluctuation of the file text association degree of the work log.

[0054] Due to the differences in the nature of the work of the staff, some are responsible for a single step, some are responsible for horizontal communication between departments, and some are responsible for vertical communication within departments, but they are all related, so the process relevance of the staff also represents the credibility of the staff. This embodiment matches the historical files with the drug development process, and by analyzing whether there is a regularity in the process, the process relevance of the staff can be obtained.

[0055] Specifically, for ease of understanding, Figure 2As shown in the figure, a drug process network diagram is drawn according to the workflow of the staff in the drug research and development process, which is composed of a vertex set and an edge set. The vertices are classified into Type I vertices and Type II vertices. Type I vertex represents a department unit, such as a group doing the same experiment, a department doing material management, etc. Type II vertex represents a staff member. The double-arrow edge represents the existence of a file transfer relationship between the two connected vertices, such as the experimental group transmitting experimental data to the data analysis group; the single-arrow edge represents a subordinate relationship, for example, any experimental group is subordinate to the general experimental department.

[0056] The subordinate department of each staff member is obtained; the number of identical files between each staff member and all files of other staff members is used as the association value between each staff member and other staff members.

[0057] The staff members who have a file transfer relationship with each staff member are recorded as the related staff members of each staff member; if the subordinate department of a staff member has a subordinate relationship with the subordinate departments of its related staff members, the value of the process specification function of the staff member is 1, otherwise it is 0. When the value of the process specification function is 1, it indicates that the file transfer is more in line with the subordinate relationship in the structural process.

[0058] Furthermore, the association value and process specification function of each staff member with all related personnel are combined to obtain the process relevance of each staff member. Specifically, the sum of the association values ​​of each staff member with all related personnel is calculated; the ratio of the association value of each staff member with each related personnel to the sum is used as the association weight of each staff member with each related personnel; the weighted average of the process specification function of each staff member with all related personnel is calculated with the association weight of each staff member with each related personnel as the weight, and the process relevance of each staff member is obtained.

[0059] The greater the association value of all related personnel of the staff member, the greater the number of identical files, the more frequent the circulation of files between the staff member and related personnel, and the more the file transfer conforms to the subordinate relationship in the structural process, the stronger the process relevance of the staff member.

[0060] During the drug research and development process, each staff member serves as a node in the drug research and development relationship network. The correlation between the staff member's work log and the file of the day, as well as the process correlation, all reflect the normality of the staff member's client. At the same time, within a period of time, the correlation between the daily work log and the file of the day, as well as the process correlation, are relatively close. Therefore, this embodiment combines the fluctuations in the process correlation of all days of the staff member and the file text correlation of the work log to obtain the data correlation stability of the staff member.

[0061] As an embodiment of the present application, the calculation formula of the data association stability of the staff is:

[0062]

[0063] in, Indicates the data association stability of the staff; It represents the mean value of the document text correlation of the staff member’s work logs for all days; Indicates the total number of days; Indicates the degree of relevance of the file text in the work log of the staff member on day t; represents the mean of the process correlations for all days; It represents the process correlation of the staff on the tth day; exp() is an exponential function with a natural constant as the base; norm[] is a linear normalization function.

[0064] The larger the mean value of the correlation between work logs and historical files and the correlation between processes, the more trustworthy and stable the staff member is; , It represents the sum of the absolute values ​​of the difference between the correlation between the daily work log and the historical files, the process correlation and the mean. It reflects the changes in the correlation between the work log and the processed files, and the process correlation. The larger the value, the greater the change, and the weaker the stability.

[0065] S4, based on the similarity between the staff and all other staff with whom the staff has file transfer relations and the possession of request-type files, obtain the staff's collaborative relevance; comprehensively consider the staff's data association stability and collaborative relevance to obtain the staff's node credibility; and securely transmit data based on the staff's node credibility.

[0066] As a part of the drug development process, the work of any staff member is not independent. There are other staff members who are strongly related to their work content. If the relevant staff member has a relevant request, then the credibility of the staff member is higher. Combining the relevance and association value of the request class file, the credibility of the corresponding node of the staff member can be obtained. The suffix of the request class file is generally .js or .html, etc. The specific suffix depends on the programming language and framework used.

[0067] For each staff member, obtain the ratio of the number of related persons who have request-type files among all the staff member's related persons to the number of all the staff member's related persons, and record it as the staff member's association ratio; calculate the product of the sum of the association values ​​between the staff member and all his related persons who have request-type files and the association ratio, and record it as the staff member's collaborative correlation.

[0068] The collaborative correlation indicates the existence of the staff request type file in the files of related personnel. The more related personnel have the file, the greater the correlation value between the related personnel and the staff.

[0069] In order to further comprehensively analyze the impact of the staff's data association stability and collaborative relevance on the security of the staff's corresponding nodes; the product of the staff's data association stability and collaborative relevance is taken as the staff's node credibility; the stronger the node credibility, the stronger the security of the staff's corresponding node, and the greater the possibility that the server will respond to the request.

[0070] The node credibility indicates the normality of the node corresponding to the staff, that is, the security of the node; the server can determine whether to upload or download operations based on the node credibility value to complete secure transmission. In this embodiment, the client of the request class file is authenticated in the SSL / TLS protocol; whether to transmit data is determined based on the node credibility. When the node credibility of the staff is greater than the preset threshold of 0.7, the client is considered safe and data can be transmitted. Otherwise, data transmission is refused.

[0071] Based on the same inventive concept as the above method, an embodiment of the present application also provides a secure transmission system for drug research and development process data, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned methods for secure transmission of drug research and development process data are implemented.

[0072] Through the above description of the implementation method in combination with the accompanying drawings, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0073] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A method for secure transmission of drug R&D process data, characterized in that: The method comprises the following steps: S1, obtain the daily work logs and various files processed by the client of each staff member during the drug research and development process; S2, according to the vocabulary matching between the staff's daily work log and the file names of all files and the text contents of all text files, the degree of file text association of the work log is obtained; S3, obtain the subordinate departments of each staff member; obtain the process relevance of each staff member based on the departmental affiliation of each staff member with other staff members and the similarity of the files; and obtain the data relevance stability of each staff member by comprehensively analyzing the process relevance of each staff member for all days and the fluctuation of the file text relevance of the work log; S4, based on the similarity between the staff and all other staff with whom the staff has file transfer relations and the possession of request-type files, obtain the staff's collaborative relevance; comprehensively consider the staff's data association stability and collaborative relevance to obtain the staff's node credibility; and securely transmit data based on the staff's node credibility.

2. A method for secure transmission of drug R&D process data as claimed in claim 1, characterized in that: The degree of association between the work log's file text is obtained based on the vocabulary matching between the staff's daily work log and the file names of all files and the text contents of all text files, including: Perform word segmentation on each work log to obtain the log vocabulary of each work log; perform word segmentation on the file name of each file to obtain the representative vocabulary of each file; for the text files in all files, perform word segmentation on the text content of each text file to obtain the vocabulary set of each text file; If the mth log word in the work log exists in all the representative words of all the files, the value of the label matching function of the mth log word in the work log is 1, otherwise it is 0; If the mth log word in the work log exists in the vocabulary of all text files, the content matching function of the mth log word in the work log has a value of 1, otherwise it is 0; For any day, the document text correlation degree of the work log is obtained according to the label matching function and content matching function of all log words in the work log.

3. A method for secure transmission of drug R&D process data as claimed in claim 2, characterized in that: The method of obtaining the document text association degree of the work log according to the label matching function and the content matching function of all log words in the work log includes: recording the document text association degree of the work log as P, ;in, Indicates the number of log words in all log words of the work log whose sum of label matching function and content matching function is greater than 0; The number of log words representing the work log; represents the value of the label matching function of the mth log word in the work log; Represents the value of the content matching function for the mth log word in the work log.

4. A method for secure transmission of drug R&D process data as claimed in claim 1, characterized in that: The process relevance of each staff member is obtained based on the department affiliation of each staff member with other staff members and the similarity of the files, including: The number of identical files between each worker and all files of other workers is used as the association value between each worker and other workers; The staff members who have a file transfer relationship with each staff member are recorded as the related staff members of each staff member; if the subordinate department of a staff member has a subordinate relationship with the subordinate departments of its related staff members, the value of the process specification function of the staff member is 1, otherwise it is 0; The process relevance of each staff member is obtained by combining the association value of each staff member and all related personnel and the process specification function.

5. A method for secure transmission of drug R&D process data as claimed in claim 4, characterized in that: The process relevance of each staff member is obtained by integrating the association value of each staff member and all related staff members and the process specification function, including: Calculate the sum of the association values ​​of each staff member and all his / her related personnel; use the ratio of the association value of each staff member and each of his / her related personnel to the sum as the association weight of each staff member and each of his / her related personnel; use the association weight of each staff member and each of his / her related personnel as the weight, calculate the weighted average of the process specification function of each staff member and all of his / her related personnel, and obtain the process relevance of each staff member.

6. A method for secure transmission of drug R&D process data as claimed in claim 1, characterized in that: The method for calculating the data association stability of each staff member includes: in, Indicates the data association stability of the staff; It represents the mean value of the document text correlation of the staff member’s work logs for all days; Indicates the total number of days; Indicates the degree of relevance of the file text in the work log of the staff member on day t; represents the mean of the process correlations for all days; It represents the process correlation of the staff on the tth day; exp() is an exponential function with a natural constant as the base; norm[] is a linear normalization function.

7. A method for secure transmission of drug R&D process data as claimed in claim 4, characterized in that: The method for obtaining the collaborative relevance of the staff member includes: For each staff member, obtain the ratio of the number of related persons who have request-type files among all the staff member's related persons to the number of all the staff member's related persons, and record it as the staff member's association ratio; calculate the product of the sum of the association values ​​between the staff member and all his related persons who have request-type files and the association ratio, and record it as the staff member's collaborative correlation.

8. A method for secure transmission of drug R&D process data as claimed in claim 1, characterized in that: The data association stability and collaborative relevance of the comprehensive staff are used to obtain the node credibility of the staff, which specifically includes: The product of the worker's data association stability and the collaborative correlation is taken as the worker's node credibility.

9. A method for secure transmission of drug R&D process data as claimed in claim 1, characterized in that: The secure transmission of data according to the node credibility of the worker includes: when the node credibility of the worker is greater than a preset threshold, data is transmitted to the client corresponding to the worker.

10. A secure transmission system for drug R&D process data, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of a method for securely transmitting data in a drug development process as described in any one of claims 1 to 9 are implemented.

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