CN115510489B - Shared intelligent laboratory system for secret data transmission based on correlation analysis - Google Patents
Shared intelligent laboratory system for secret data transmission based on correlation analysis Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent laboratory data sharing, in particular to a shared intelligent laboratory system for secret transmission of data based on correlation analysis. The system comprises a shared personnel identity information acquisition unit, an experimental data marker information extraction unit and an experimental data sharing unit. According to the invention, the experimental data significances stored in the experimental data sharing unit are extracted by the experimental data significances extraction unit, the experimental data significances are compared by the sharing personnel identity verification unit, the correlation between the sharing personnel and the experiment is judged, and the experimental data sharing unit provides the rest experimental data for the verified sharing personnel, so that the internal self-sharing function of the experimental data is realized, and the situation that irrelevant personnel enter the experimental data sharing system to cause the leakage of the experimental data system is avoided.
Description
Technical Field
The invention relates to the technical field of intelligent laboratory data sharing, in particular to a shared intelligent laboratory system for secret transmission of data based on correlation analysis.
Background
In the laboratory, a large amount of experimental data can be generated in the experimental process, a plurality of workers are usually required to cooperate with each other to calculate, different workers are responsible for different experimental works, but in the verification or summarization process, all experimental data are required to be analyzed in a whole, meanwhile, most experimental data are not disclosed and are still in a secret state, identity verification is required in the analysis process, most of traditional laboratory systems adopt password identification, the password is fixed and unchanged, and no light exists with the experimental data, so that once the password leaks to unrelated personnel, the original experimental data and the experimental data updated continuously in the later period can be leaked, and a shared intelligent laboratory system based on secret transmission of correlation analysis data is required.
Disclosure of Invention
The present invention is directed to a shared intelligent laboratory system for secure transmission of data based on correlation analysis, which solves the above-mentioned problems.
In order to achieve the above purpose, the shared intelligent laboratory system based on correlation analysis data secret transmission is provided, the shared intelligent laboratory system comprises a shared personnel identity information acquisition unit, wherein the shared personnel identity information acquisition unit is used for receiving personnel identity information and checking information which need to be shared, the output end of the shared personnel identity information acquisition unit is connected with a shared personnel identity checking unit, the input end of the shared personnel identity checking unit is connected with an experimental data flag information extraction unit, the input end of the experimental data flag information extraction unit is connected with an experimental data sharing unit, the experimental data sharing unit is used for storing experimental data, the experimental data flag information extraction unit is used for analyzing and processing the experimental data stored by the experimental data sharing unit, flag information in the experimental data is obtained, the flag information in the experimental data is transmitted to the shared personnel identity checking unit, the output end of the shared personnel identity checking unit is connected with a shared personnel identity checking unit, and the output end of the shared personnel identity checking unit is connected with the input end of the experimental data sharing unit.
As a further improvement of the technical scheme, the shared personnel identity verification unit comprises a shared personnel data information providing module, wherein the shared personnel data information providing module is used for collecting verification information provided by the shared personnel, the output end of the shared personnel data information providing module is connected with a marking information comparison module, the marking information comparison module is used for comparing the verification information provided by the shared personnel with marking information in experimental data, and the output end of the marking information comparison module is connected with a comparison data output module.
As a further improvement of the technical scheme, the identity verification unit of the sharing personnel adopts an identity verification algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
B＝[b 1 ，b 2 ，…，b m ]；
wherein A is a data cluster set of flag information in experimental data, a 1 To a n Bid for experimental dataEach data cluster of the lineage information, B is a data cluster set of check information provided by sharing personnel, B 1 To b m Individual data clusters, f (b) 0 ) Mapping equation of data cluster set B of check information provided for sharing personnel and data cluster set A of flag information in experimental data, B 0 Similarity, c is the similarity threshold, when similarity b 0 When not smaller than the similarity threshold c, the map equation f (b 0 ) And 1 is output, the data cluster set B indicating the verification information provided by the sharing personnel is related to the data cluster set A of the flag information in the experimental data, and the sharing personnel is judged to be the target personnel provided by the experimental data.
As the further improvement of this technical scheme, experimental data landmark information draws the unit and includes whole experimental data screening module, whole experimental data screening module is used for carrying out screening processing to experimental data, whole experimental data screening module output is connected with landmark information identification module.
As a further improvement of the technical scheme, the output end of the experimental data sharing unit is connected with an experimental data updating unit, the output end of the experimental data updating unit is connected with the input end of the experimental data sharing unit, and the experimental data updating unit is used for providing experimental updating data for the experimental data sharing unit.
As a further improvement of the technical scheme, the experimental data updating unit comprises an updating data identification module, the output end of the updating data identification module is connected with an error data eliminating module, and the error data eliminating module is used for eliminating error data in updated experimental data.
As a further improvement of the technical scheme, the output end of the experimental data updating unit is connected with an updating data identification degree identifying unit, the input end of the updating data identification degree identifying unit is connected with the output end of the experimental data sharing unit, and the updating data identification degree identifying unit is used for identifying and processing the experimental data identification degree stored in the experimental data sharing unit.
As a further improvement of the technical scheme, the output end of the updated data identification degree recognition unit is connected with the input end of the experimental data significative information extraction unit.
As a further improvement of the technical scheme, the output end of the marking information identification module is connected with a new marking information replacement module, and the input end of the new marking information replacement module is connected with the output end of the updating data identification degree identification unit.
Compared with the prior art, the invention has the beneficial effects that:
1. in the shared intelligent laboratory system based on correlation analysis data secret transmission, the experimental data flag information extraction unit extracts experimental data flag information stored in the experimental data sharing unit, compares the experimental data flag information to the shared personnel identity verification unit, judges the correlation between the shared personnel and the experiment, and provides other experimental data for the verified shared personnel, so that the internal self-sharing function of the experimental data is realized, and the situation that irrelevant personnel enter the experimental data sharing system to cause secret leakage of the experimental data system is avoided.
2. In the shared intelligent laboratory system based on correlation analysis data secret transmission, a shared personnel data information providing module collects check information provided by shared personnel and transmits the check information provided by the shared personnel to a marked information comparison module, the marked information comparison module compares the check information provided by the shared personnel with marked information in experimental data to generate comparison data information, the comparison data information is transmitted to a comparison data output module, the comparison data information is integrated through the comparison data output module, and the integrated comparison data information is output for identity verification of a shared personnel identity verification unit.
3. In the shared intelligent laboratory system based on correlation analysis data secret transmission, the updated data is extracted through the experimental data updating unit, the extracted updated data is transmitted to the experimental data sharing unit, the landmark information is updated in time, and timeliness of the landmark information is improved.
4. In the shared intelligent laboratory system based on the secret transmission of the correlation analysis data, the identification degree of each experimental data and the identification degree of the marking information, namely the association degree of the marking information, is judged by identifying the experimental data related to the marking information through the identification degree identification unit of the updating data, when the data related to the marking information appears in the experimental data after later updating, whether the updating data can influence the updating of the marking information can be judged, if the association is lower, the data with the highest occurrence frequency of the experimental data needs to be judged again, and if the association is higher, the data with the highest occurrence frequency of the experimental data does not need to be judged again, so that the operation flow is reduced, and the marking information judging efficiency is improved.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a flow chart of a shared personnel identity verification unit of the present invention;
FIG. 3 is a flow chart of the experimental data landmark information extraction unit of the present invention;
FIG. 4 is a flow chart of the experimental data updating unit of the present invention.
The meaning of each reference sign in the figure is:
10. a shared personnel identity information acquisition unit;
20. a shared person identity verification unit; 210. a shared personnel data information providing module; 220. a flag information comparison module; 230. an alignment data output module;
30. an experimental data landmark information extraction unit; 310. the whole experimental data screening module; 320. a significative information identification module; 330. new and old flag information replacement module;
40. a shared person identity verification unit;
50. an experimental data sharing unit;
60. an experimental data updating unit; 610. updating the data identification module; 620. an error data rejection module;
70. and updating the data identification degree identification unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-4, a shared intelligent laboratory system based on correlation analysis data secret transmission is provided, which comprises a shared personnel identity information acquisition unit 10, wherein the shared personnel identity information acquisition unit 10 is used for receiving personnel identity information and checking information to be shared, the output end of the shared personnel identity information acquisition unit 10 is connected with a shared personnel identity checking unit 20, the input end of the shared personnel identity checking unit 20 is connected with an experimental data flag information extraction unit 30, the input end of the experimental data flag information extraction unit 30 is connected with an experimental data sharing unit 50, the experimental data sharing unit 50 is used for storing experimental data, the experimental data flag information extraction unit 30 is used for analyzing and processing the experimental data stored by the experimental data sharing unit 50, obtaining flag information in the experimental data, transmitting the flag information in the experimental data to the shared personnel identity checking unit 20, the output end of the shared personnel identity checking unit 20 is connected with a shared personnel identity checking unit 40, and the output end of the shared personnel identity checking unit 40 is connected with the input end of the experimental data sharing unit 50.
When the system is specifically used, the shared personnel identity information acquisition unit 10 receives personnel identity information and checking information which need to be shared, the shared personnel identity information is transmitted to the shared personnel identity checking unit 20, meanwhile, the experimental data marker information extraction unit 30 extracts experimental data marker information stored in the experimental data sharing unit 50, the marker information is transmitted to the shared personnel identity checking unit 20, the shared personnel identity checking unit 20 performs identity authentication on the shared personnel, the shared personnel needs to provide checking information which is considered to be the most suitable for the experimental data by the experimental data, the experimental data marker information is compared by the shared personnel identity checking unit 20, when the checking information is compared with the experimental data marker information, the shared personnel is judged to be relevant to the experiment, judgment information is generated, the judgment information is transmitted to the shared personnel identity checking unit 40, the shared personnel identity is identified through the shared personnel identity checking unit 40, at the moment, the experimental data sharing unit 50 receives the shared personnel identity checking unit 40, the rest experimental data are provided for the shared personnel, the internal self-sharing function of the experimental data is realized, and the situation that the experimental data are irrelevant to the experimental data system is prevented from being leaked is caused.
In addition, the shared personnel identity verification unit 20 includes a shared personnel data information providing module 210, the shared personnel data information providing module 210 is used for collecting verification information provided by the shared personnel, the output end of the shared personnel data information providing module 210 is connected with a flag information comparison module 220, the flag information comparison module 220 is used for comparing the verification information provided by the shared personnel with flag information in experimental data, and the output end of the flag information comparison module 220 is connected with a comparison data output module 230. When the system is specifically used, the shared personnel data information providing module 210 collects the verification information provided by the shared personnel, transmits the verification information provided by the shared personnel to the marking information comparing module 220, compares the verification information provided by the shared personnel with the marking information in the experimental data by the marking information comparing module 220, generates comparison data information, transmits the comparison data information to the comparison data output module 230, integrates the comparison data information through the comparison data output module 230, and outputs the integrated comparison data information for identity verification by the shared personnel identity verification unit 40.
Further, the identity verification unit 20 of the sharing person adopts an identity verification algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
B＝[b 1 ，b 2 ，…，b m ]；
wherein A is a data cluster set of flag information in experimental data, a 1 To a n B is a data cluster set of verification information provided by sharing personnel and B is a data cluster of marking information in experimental data 1 To b m Individual data clusters, f (b) 0 ) Mapping equation of data cluster set B of check information provided for sharing personnel and data cluster set A of flag information in experimental data, B 0 Similarity, c is the similarity threshold, when similarity b 0 When not smaller than the similarity threshold c, the map equation f (b 0 ) And 1 is output, the data cluster set B indicating the verification information provided by the sharing personnel is related to the data cluster set A of the flag information in the experimental data, and the sharing personnel is judged to be the target personnel provided by the experimental data.
Still further, the experimental data flag information extraction unit 30 includes an overall experimental data screening module 310, the overall experimental data screening module 310 is used for screening experimental data, and an output end of the overall experimental data screening module 310 is connected with a flag information identification module 320. When the system is specifically used, the whole experimental data screening module 310 analyzes and processes the whole experimental data, classifies different data according to the occurrence times of the experimental data, generates classification information, transmits the classification information to the marking information identification module 320, and uses the data with the highest occurrence times of the experimental data as marking information through the marking information identification module 320 for later identity verification of sharing personnel.
Specifically, the output end of the experimental data sharing unit 50 is connected with an experimental data updating unit 60, the output end of the experimental data updating unit 60 is connected with the input end of the experimental data sharing unit 50, and the experimental data updating unit 60 is used for providing experimental updated data for the experimental data sharing unit 50. Because the experimental data will be updated continuously in the experimental process, the updated data will affect the landmark information, the updated data is extracted by the experimental data updating unit 60, and the extracted updated data is transmitted to the experimental data sharing unit 50, so that the landmark information is updated in time, and the timeliness of the landmark information is improved.
In addition, the experimental data updating unit 60 includes an updated data identifying module 610, and an error data rejecting module 620 is connected to an output end of the updated data identifying module 610, where the error data rejecting module 620 is configured to reject error data in the updated experimental data. When the device is specifically used, the updated data identification module 610 identifies the updated experimental data, transmits the identified updated data to the experimental data sharing unit 50, is used for comparing the identified updated data with the whole data stored in the experimental data sharing unit 50, generates comparison information, transmits the comparison information to the error data rejection module 620, analyzes the compared whole data through the error data rejection module 620, rejects error data and redundant data, ensures the whole data integrity stored in the experimental data sharing unit 50, and avoids data collision, so that the data content is difficult to identify.
Further, an output end of the experimental data updating unit 60 is connected to an updated data identification unit 70, an input end of the updated data identification unit 70 is connected to an output end of the experimental data sharing unit 50, and the updated data identification unit 70 is used for identifying the experimental data identification stored in the experimental data sharing unit 50. When the method is specifically used, the experimental data sharing unit 50 transmits stored experimental data to the updated data identification degree identification unit 70, the identification degree of each experimental data and the identification degree of the marking information, namely the association degree of each experimental data and the marking information is judged through the identification of the updated data identification degree identification unit 70, when the data associated with the marking information appears in the experimental data after later updating, whether the updating data can influence the updating of the marking information can be judged, if the association is lower, the data with the highest occurrence times of the experimental data needs to be judged again, if the association is higher, the data with the highest occurrence times of the experimental data is similar to the original marking information content, the data with the highest occurrence times does not need to be judged again, the operation flow is reduced, and the marking information judging efficiency is improved.
Still further, an output terminal of the update data identification unit 70 is connected to an input terminal of the experimental data flag information extraction unit 30. When the association between the updated data determined by the updated data identification recognition unit 70 and the original landmark information is low, the data with the highest occurrence frequency of the experimental data needs to be re-determined, and when the repetition frequency of a certain piece of distinguishing data in the updated data is higher than the occurrence frequency of the original landmark information, the distinguishing data is the landmark information in the updated experimental data, and the landmark information is directly transmitted to the experimental data landmark information extraction unit 30 for replacing the landmark information.
In addition, the output end of the marking information identification module 320 is connected with the new and old marking information replacement module 330, and the input end of the new and old marking information replacement module 330 is connected with the output end of the updating data identification degree identification unit 70. When the method is specifically used, the updated data identification degree identification unit 70 transmits the flag information in the updated experimental data to the new and old flag information replacement module 330, the original flag information is deleted through the new and old flag information replacement module 330, the flag information in the updated experimental data is used as new flag information, the new flag information is used as a standard for judging sharing personnel, and the timeliness of the flag information of the experimental data is improved.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The utility model provides a sharing wisdom laboratory system based on correlation analysis data secret transmission, includes sharing personnel identity information collection unit (10), sharing personnel identity information collection unit (10) are used for receiving personnel identity information and the check-up information that need to carry out sharing, its characterized in that: the method comprises the steps that the output end of a shared personnel identity information acquisition unit (10) is connected with a shared personnel identity verification unit (20), the input end of the shared personnel identity verification unit (20) is connected with an experiment data mark information extraction unit (30), the input end of the experiment data mark information extraction unit (30) is connected with an experiment data sharing unit (50), the experiment data sharing unit (50) is used for storing experiment data, the experiment data mark information extraction unit (30) is used for analyzing and processing the experiment data stored by the experiment data sharing unit (50) to obtain mark information in the experiment data, the mark information in the experiment data is transmitted to the shared personnel identity verification unit (20), the output end of the shared personnel identity verification unit (20) is connected with a shared personnel identity verification unit (40), and the output end of the shared personnel identity verification unit (40) is connected with the input end of the experiment data sharing unit (50).
The shared personnel identity verification unit (20) performs identity verification on the shared personnel, the experimental data marker information is compared by the shared personnel identity verification unit (20), when the verification information is compared with the experimental data marker information, judgment information is generated and transmitted to the shared personnel identity verification unit (40), the shared personnel identity is identified by the shared personnel identity verification unit (40), the experimental data sharing unit (50) receives the identity verification information of the shared personnel identity verification unit (40), and other experimental data are provided for the verified shared personnel;
the shared personnel identity information acquisition unit (10) receives personnel identity information and verification information which need to be shared, and transmits the shared personnel identity information to the shared personnel identity verification unit (20), and meanwhile the experimental data significative information extraction unit (30) extracts the experimental data significative information stored in the experimental data sharing unit (50) and transmits the significative information to the shared personnel identity verification unit (20).
2. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 1, wherein: the shared personnel identity verification unit (20) comprises a shared personnel data information providing module (210), a marking information comparison module (220) and a comparison data output module (230), wherein the shared personnel data information providing module (210) is used for collecting verification information provided by a shared personnel, the marking information comparison module (220) is connected with the output end of the shared personnel data information providing module (210), the marking information comparison module (220) is used for comparing the verification information provided by the shared personnel with marking information in experimental data, and the output end of the marking information comparison module (220) is connected with the comparison data output module (230);
the sharing personnel data information providing module (210) collects the verification information provided by the sharing personnel, transmits the verification information provided by the sharing personnel to the marking information comparison module (220), compares the verification information provided by the sharing personnel with the marking information in the experimental data by the marking information comparison module (220), generates comparison data information, transmits the comparison data information to the comparison data output module (230), integrates the comparison data information through the comparison data output module (230), and outputs the integrated comparison data information for identity verification by the sharing personnel identity verification unit (40).
3. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 2, wherein: the shared personnel identity verification unit (20) adopts an identity verification algorithm, and the algorithm formula is as follows:
A＝[a1，a2，…，an ]；
B＝[b1，b2，…，bm ]；
wherein A is a data cluster set of the flag information in the experimental data, a1 to an are all data clusters of the flag information in the experimental data, B is a data cluster set of the check information provided by the sharing personnel, B1 to bm are all data clusters of the check information provided by the sharing personnel, f (B0) is a mapping equation of the data cluster set B of the check information provided by the sharing personnel and the data cluster set A of the flag information in the experimental data, B0 is a similarity rate threshold, c is a similarity rate threshold, when B0 is not less than the similarity rate threshold c, the mapping equation f (B0) is output as 1, the data cluster set B of the check information provided by the sharing personnel is related to the data cluster set A of the flag information in the experimental data, and the sharing personnel is judged to be the target personnel provided by the experimental data.
4. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 1, wherein: the experimental data marking information extraction unit (30) comprises an integral experimental data screening module (310), a marking information identification module (320) and a new and old marking information replacement module (330), wherein the integral experimental data screening module (310) is used for screening experimental data, and the marking information identification module (320) is connected to the output end of the integral experimental data screening module (310);
the whole experimental data screening module (310) analyzes and processes the whole experimental data, classifies different data according to the occurrence times of the experimental data to generate classification information, transmits the classification information to the marking information identification module (320), and uses the data with the highest occurrence times of the experimental data as marking information through the marking information identification module (320) for the identity verification of sharing personnel.
5. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 1, wherein: the experimental data sharing unit (50) output end is connected with an experimental data updating unit (60), the experimental data updating unit (60) output end is connected with the experimental data sharing unit (50) input end, and the experimental data updating unit (60) is used for providing experimental updating data for the experimental data sharing unit (50).
6. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 5, wherein: the experimental data updating unit (60) comprises an updating data identification module (610) and an error data eliminating module (620), wherein the output end of the updating data identification module (610) is connected with the error data eliminating module (620), and the error data eliminating module (620) is used for eliminating error data in updated experimental data;
the updated data identification module (610) identifies the updated experimental data, transmits the identified updated data to the experimental data sharing unit (50) for comparison with the whole data stored by the experimental data sharing unit (50), generates comparison information, transmits the comparison information to the error data eliminating module (620), and analyzes the compared whole data through the error data eliminating module (620).
7. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 6, wherein: the output end of the experimental data updating unit (60) is connected with an updating data identification recognition unit (70), the input end of the updating data identification recognition unit (70) is connected with the output end of the experimental data sharing unit (50), and the updating data identification recognition unit (70) is used for recognizing and processing the experimental data identification stored by the experimental data sharing unit (50);
the experimental data sharing unit (50) transmits the stored experimental data to the updated data identification degree recognition unit (70), the experimental data related to the landmark information is recognized by the updated data identification degree recognition unit (70), judging the identification degree of each experimental data and the marking information, and when the data associated with the marking information appears in the experimental data updated later, judging the data with the highest occurrence frequency of the experimental data again if the association is lower.
8. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 7, wherein: the output end of the updating data identification degree identification unit (70) is connected with the input end of the experimental data significative information extraction unit (30).
9. The correlation analysis data secure transmission-based shared intelligent laboratory system according to claim 4, wherein: the output end of the marking information identification module (320) is connected with a new and old marking information replacement module (330), and the input end of the new and old marking information replacement module (330) is connected with the output end of the updating data identification degree identification unit (70).
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| CN114490625A (en) * | 2022-04-06 | 2022-05-13 | 深圳嘉麟科技有限责任公司 | Artificial intelligence public data platform capable of automatically updating and removing redundancy based on big data processing |
| CN114925399A (en) * | 2022-05-27 | 2022-08-19 | 国科华盾(北京)科技有限公司 | Network security management system achieving privacy protection under cloud data |
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