CN117195301A - Clinical data privacy management system based on blockchain - Google Patents
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Abstract
The invention relates to the technical field of data security, and particularly discloses a clinical data privacy management system based on a blockchain, which comprises the following components: the information input module is used for inputting clinical data into the data processing module; the data processing module is used for encrypting the clinical data by a key, uploading the clinical data into the private blockchain and sending the key to the information browsing module; the block chain management module is used for outputting clinical data in an encrypted state after receiving the access information and verifying and judging whether the browsing habit in the process of browsing the clinical data by the information browsing module is abnormal or not; according to the invention, the browsing habit of a user in the process of browsing clinical data by using the information browsing module is analyzed, the browsing habit data of the information browsing module corresponding to the user is obtained according to the historical access information, the browsing safety evaluation strategy of the corresponding information browsing module is established, and then the safety exception analysis and the exception verification are carried out on the current clinical data browsing.
Description
Technical Field
The invention relates to the technical field of data security early warning, in particular to a clinical data privacy management system based on a blockchain.
Background
Clinical data privacy refers to protection and confidentiality of personal sensitive medical information, when clinical data is processed, privacy protection is very important, clinical data comprises sensitive information such as personal identity information of patients, medical records, diagnosis results, treatment schemes and the like, privacy protection of the clinical data aims at ensuring privacy right of the patients to be respected, reputation and responsibility of medical institutions and medical professionals are maintained, a private blockchain is a distributed account book system based on the blockchain technology, but unlike a public blockchain, participants and access rights of the private blockchain are limited, only specific organizations or individuals can participate and access, the private blockchain can be used in a single hospital or the whole medical system for internal clinical data communication and transaction records, and has higher control and privacy effects on participants and operation rights and can provide privacy protection and confidentiality effects on the clinical data.
The existing clinical data privacy protection mode adopts a multi-layer protection mode, for example, when the clinical data is accessed and browsed through the information browsing module on the basis of a private blockchain, the identity of a user can be judged through confirmation of the authority of the user, and a further identity verification process is realized, but in the actual use process, the problem that the identity verification information of the user is stolen, so that the privacy of the clinical data in the whole private blockchain is revealed can occur, and if the process of secondary identity verification is set for each clinical data in the process of browsing the clinical data, inconvenience is caused to the browsing of the clinical data of relevant medical staff in the actual use process, and the working efficiency of the relevant medical staff is affected.
Disclosure of Invention
The invention aims to provide a clinical data privacy management system based on a blockchain, which solves the following technical problems:
how to improve the effect of protecting the privacy of clinical data and ensure the normal browsing of the clinical data by relevant medical staff.
The aim of the invention can be achieved by the following technical scheme:
a blockchain-based clinical data privacy management system, the system comprising:
the information input module is used for inputting clinical data into the data processing module;
the data processing module is used for encrypting the clinical data by a key, uploading the clinical data into the private blockchain and sending the key to the information browsing module;
the block chain management module is used for outputting clinical data in an encrypted state after receiving the access information and verifying and judging whether the browsing habit in the process of browsing the clinical data by the information browsing module is abnormal or not;
and the information browsing module is used for sending access information to the blockchain management module, decrypting and displaying the encrypted clinical data through the secret key.
In one embodiment, the process of verifying and judging whether the browsing habit of the information browsing module in the process of browsing the clinical data is abnormal includes:
s1, acquiring historical access information on an information browsing module which sends out the access information;
s2, acquiring browsing habit data corresponding to a user on the information browsing module aiming at the historical access information, and establishing a browsing safety evaluation strategy of the corresponding information browsing module according to the browsing habit data;
s3, carrying out safety exception analysis and exception verification on the current clinical data information browsing according to the browsing safety evaluation strategy of the corresponding information browsing module.
In one embodiment, the history access information includes a history of browsing and a daily browsing amount.
In one embodiment, the method for security exception analysis includes:
obtaining various average values in the historical browsing clinical data of the information browsing module user according to the page number of the browsing clinical data in the browsing record, the browsing speed and the time length of browsing the clinical data in a specific time period;
comparing the number of pages, the browsing speed and the time length of browsing the clinical data in a specific time period in the current process of browsing the clinical data with various average values in the historical browsing clinical data to obtain abnormal parameters of the current browsing clinical data;
comparing the abnormal parameters with a preset safety threshold, if the abnormal parameters are smaller than or equal to the preset safety threshold, not sending out abnormal verification information, and if the abnormal parameters are larger than the preset safety threshold, sending out abnormal verification information.
In an embodiment, the method for determining the preset safety threshold includes:
and obtaining a preset safety threshold value of the corresponding information browsing module according to different information browsing modules of the user.
In one embodiment, the method for security exception analysis further comprises:
establishing a daily browsing amount change curve of the visiting user according to the daily browsing amount of a specific time period before the visiting date, and fitting the K value of the curve according to a linear regression algorithm;
judging the influence of the current access on the K value:
when the K value increment caused by the current access is larger than a preset abnormal threshold value, abnormal verification information is sent out;
otherwise, no abnormal verification information is sent out.
In one embodiment, the system further comprises:
and the search control module is used for periodically downloading and decrypting the clinical data on the private blockchain, then regenerating the key for encryption and uploading the key into the private blockchain, generating the key into the information browsing module, and simultaneously inputting the key words in the decrypted clinical data into internet big data for searching so as to regulate the period of updating the key.
In one embodiment, a method for adjusting a period of updating a key includes:
the key words in the decrypted clinical data are input to internet big data for searching,
when the same keyword exists on the internet big data, the period of updating the key is regulated and shortened, the network supervision department complains to delete the same keyword information on the internet big data,
and when the same keyword is not searched for a preset number of times, resetting the period of updating the key to an initial preset period.
The invention has the beneficial effects that:
(1) When a user needs to browse clinical data, the invention sends access information to the blockchain management module through any information browsing module, the blockchain management module transmits the clinical data in an encrypted state to the information browsing module after receiving the access information, and carries out security anomaly analysis on browsing habits in the browsing process of the information browsing module, and the information browsing module decrypts and displays the clinical data in the encrypted state through a secret key.
(2) According to the invention, through analyzing the browsing habit of a user in the process of browsing clinical data by using the information browsing module, firstly, historical access information on the information browsing module sending access information is acquired, the browsing habit data of the information browsing module corresponding to the user is acquired according to the historical access information, a browsing safety evaluation strategy corresponding to the information browsing module is established according to the browsing habit data, and then safety abnormality analysis and abnormality verification are carried out on the current clinical data browsing.
(3) According to the method for analyzing the security abnormality, various average values in the historical browsing clinical data of the information browsing module user are obtained according to the page number of the browsing clinical data in the browsing record, the browsing speed and the time length of the browsing clinical data in a specific time period; comparing the number of pages, the browsing speed and the time length of browsing the clinical data in a specific time period in the current process of browsing the clinical data with various average values in the historical browsing clinical data to obtain abnormal parameters of the current browsing clinical data; comparing the abnormal parameters with a preset safety threshold, if the abnormal parameters are smaller than or equal to the preset safety threshold, not sending out abnormal verification information, and if the abnormal parameters are larger than the preset safety threshold, sending out abnormal verification information.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a blockchain-based clinical data privacy management system in accordance with the present invention;
fig. 2 is a flowchart of a step of verifying and judging whether browsing habits are abnormal by using a clinical data privacy management system based on blockchain according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, in one embodiment, a blockchain-based clinical data privacy management system is provided, the system comprising:
the information input module is used for inputting clinical data into the data processing module;
the data processing module is used for encrypting the clinical data by a key, uploading the clinical data into the private blockchain and sending the key to the information browsing module;
the block chain management module is used for outputting clinical data in an encrypted state after receiving the access information and verifying and judging whether the browsing habit in the process of browsing the clinical data by the information browsing module is abnormal or not;
and the information browsing module is used for sending access information to the blockchain management module, decrypting and displaying the encrypted clinical data through the secret key.
According to the technical scheme, clinical data are input into the data processing module through the information input module, the data processing module encrypts the input clinical data through the key and uploads the encrypted clinical data into the private blockchain, the key is sent into each information browsing module, when a user needs to browse the clinical data, access information is sent to the blockchain management module through any information browsing module, after the access information is received by the blockchain management module, the blockchain management module conveys the clinical data in an encrypted state to the information browsing module, safety exception analysis is carried out on browsing habits in the browsing process of the clinical data, and the information browsing module decrypts and displays the clinical data in the encrypted state through the key.
As one implementation mode of the invention, the process of verifying and judging whether the browsing habit in the process of browsing the clinical data by the information browsing module is abnormal comprises the following steps:
s1, acquiring historical access information on an information browsing module which sends out the access information;
s2, acquiring browsing habit data corresponding to a user on the information browsing module aiming at the historical access information, and establishing a browsing safety evaluation strategy of the corresponding information browsing module according to the browsing habit data;
s3, carrying out safety exception analysis and exception verification on the current clinical data information browsing according to the browsing safety evaluation strategy of the corresponding information browsing module.
Through the technical scheme, in the embodiment, browsing habits of a user in the process of browsing clinical data by using the information browsing module are analyzed, historical access information on the information browsing module sending access information is collected first, browsing habit data of the information browsing module corresponding to the user is obtained according to the historical access information, a browsing safety evaluation strategy corresponding to the information browsing module is established according to the browsing habit data, and then safety abnormality analysis and abnormality verification are carried out on the current clinical data browsing.
As one embodiment of the present invention, the history access information includes a history of browsing and a daily browsing amount.
According to the technical scheme, the history access information in the embodiment comprises the history browsing record and the daily browsing quantity, wherein the history browsing record comprises the page number of browsing clinical data, the browsing speed and the time length of browsing clinical data in a specific time period, the page number of browsing forest farm information, the browsing speed and the time length of browsing clinical data in the specific time period are all representative of browsing habits of the information browsing template in the process of being used by a user, and the daily browsing quantity represents the total daily use quantity of the user for the information browsing module, so that a relatively accurate browsing safety evaluation strategy can be established for different information browsing modules through the history browsing record and the daily browsing quantity, and further the safety exception analysis and the exception verification of the clinical data browsing in the process of using the information browsing module by the user can be ensured.
As one embodiment of the present invention, a method of security anomaly analysis includes:
obtaining various average values in the historical browsing clinical data of the information browsing module user according to the page number of the browsing clinical data in the browsing record, the browsing speed and the time length of browsing the clinical data in a specific time period;
comparing the number of pages, the browsing speed and the time length of browsing the clinical data in a specific time period in the current process of browsing the clinical data with various average values in the historical browsing clinical data to obtain abnormal parameters of the current browsing clinical data;
comparing the abnormal parameters with a preset safety threshold, if the abnormal parameters are smaller than or equal to the preset safety threshold, not sending out abnormal verification information, and if the abnormal parameters are larger than the preset safety threshold, sending out abnormal verification information.
By the technical proposal, the embodiment carries out specific analysis on the safety abnormality analysis,
dividing the current process of browsing clinical data into N time points at equal time intervals, and monitoring the browsing speed of each time point through a block chain management module;
by the formulaCalculating to obtain abnormal parameter C abn ，
Wherein,for the average value of the page number of the clinical data in the historical browse clinical data record, the average value can be obtained according to the analysis of the data in the browse record, P t For browsing the number of pages of clinical data in the clinical data in real time, the information browsed by the information browsing module can be monitored and obtained according to the blockchain management module>As a page number related function of browsed clinical data, when +.>When (I)>When->When (I)> For the average number of the time length of browsing clinical data in a specific time period in the historical browsing clinical data record, the average number can be obtained according to the analysis of the data in the browsing record, S t For browsing the duration of the clinical data in the specific time period in real time, the information browsed by the information browsing module can be obtained according to the information monitoring of the blockchain management module>For a correlation function of the duration of the browsing of clinical data in a specific time period, when +.>In the time-course of which the first and second contact surfaces,when->When (I)>Alpha and beta are weight coefficients, and can be obtained according to experimental data fitting, i is E [1, N]，/>The average value of browsing speed in the historical browsing clinical data records can be obtained according to the analysis of the data in the browsing records, V i For the browsing speed of the ith time point in the process of browsing the clinical data in real time, the browsing speed can be obtained by monitoring the information browsed by the information browsing module according to the blockchain management module;
will be abnormal parameter C abn And a preset safety threshold C th Comparing;
if C abn ≤C th The block chain management module does not send out abnormal verification information;
if C abn ＞C th The block chain management module sends out abnormal verification information to the information browsing module, the abnormal verification information is displayed through the information browsing module, and a user can continue to browse clinical data on the block chain after the abnormal verification information passes verification.
As one embodiment of the present invention, the method for determining the preset safety threshold value includes:
and obtaining a preset safety threshold value of the corresponding information browsing module according to different information browsing modules of the user.
Through the above technical solution, the method for determining the preset safety threshold in this embodiment is that formula C is used th ＝C std *μ j Calculating preset safety thresholds corresponding to different information browsing modules, wherein C std For the abnormal parameter standard value, can be obtained according to experimental data fitting, when j=1, mu 1 Information browsing module permission coefficient for mainly treating doctor, when j=2, mu 2 Information browsing module permission coefficient for nurse, μ when j=3 3 Is a relevant medical care person such as medical assistant, pharmacist, etcInformation browsing module authority coefficient used by the member, μ when j=4 4 Information browsing module permission coefficient, mu for patient or patient family related personnel 1 ＞μ 2 ＞μ 3 ＞μ 4 Specifically, the method can be set according to experimental data fitting.
As one embodiment of the present invention, the method for security exception analysis further includes:
establishing a daily browsing amount change curve of the visiting user according to the daily browsing amount of a specific time period before the visiting date, and fitting the K value of the curve according to a linear regression algorithm;
judging the influence of the current access on the K value:
when the K value increment caused by the current access is larger than a preset abnormal threshold value, abnormal verification information is sent out;
otherwise, no abnormal verification information is sent out.
Through the technical scheme, the embodiment provides a method for carrying out safety exception analysis according to the daily browsing amount of a user, specifically, a daily browsing amount change curve of the user is established according to the daily browsing amount of a specific time period before the access date, and the K value of the curve is fitted according to a linear regression algorithm; meanwhile, the browsing amount of the current browsing clinical data is added into a daily browsing amount change curve, the K value of the curve is fitted in real time, and when the K value is increased due to the current browsing amount and the increasing amount is larger than a preset threshold value, the current browsing amount is indicated to be abnormal, so that the current browsing amount is timely judged in an abnormal verification mode at the moment, and further protection of clinical data privacy is provided.
As an embodiment of the present invention, the system further comprises:
and the search control module is used for periodically downloading and decrypting the clinical data on the private blockchain, then regenerating the key for encryption and uploading the key into the private blockchain, generating the key into the information browsing module, and simultaneously inputting the key words in the decrypted clinical data into internet big data for searching so as to regulate the period of updating the key.
The method for adjusting the period of updating the key comprises the following steps:
the key words in the decrypted clinical data are input to internet big data for searching,
when the same keyword exists on the internet big data, the period of updating the key is regulated and shortened, the network supervision department complains to delete the same keyword information on the internet big data,
and when the same keyword is not searched for a preset number of times, resetting the period of updating the key to an initial preset period.
According to the technical scheme, the method for adjusting and controlling the key updating period is provided, clinical data on a private blockchain is downloaded and decrypted periodically through a search control module, then a key is regenerated and encrypted and uploaded into the private blockchain, so that confidentiality of clinical data privacy is improved, keywords in decrypted clinical data are synchronously input to Internet big data for searching, if the same keywords are searched on the Internet big data, the fact that the key for encrypting the clinical data is possibly cracked is indicated, periodicity of updating the key is shortened, complaints are carried out on a network monitoring department, relevant keyword information on the Internet big data is deleted, if the same keywords are searched in preset times, the fact that the key for encrypting the clinical data is possibly not cracked is indicated, and the period of updating the key is reset to an initial preset period, wherein the period time of updating the key shortened each time and the initial preset period time can be preset through experiment fitting.
The foregoing describes one embodiment of the present invention in detail, but the disclosure is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. A blockchain-based clinical data privacy management system, the system comprising:
the information input module is used for inputting clinical data into the data processing module;
the data processing module is used for encrypting the clinical data by a key, uploading the clinical data into the private blockchain and sending the key to the information browsing module;
the block chain management module is used for outputting clinical data in an encrypted state after receiving the access information and verifying and judging whether the browsing habit in the process of browsing the clinical data by the information browsing module is abnormal or not;
and the information browsing module is used for sending access information to the blockchain management module, decrypting and displaying the encrypted clinical data through the secret key.
2. The blockchain-based clinical data privacy management system of claim 1, wherein the process of verifying whether the browsing habit of the information browsing module in the process of browsing clinical data is abnormal comprises:
s1, acquiring historical access information on an information browsing module which sends out the access information;
s2, acquiring browsing habit data corresponding to a user on the information browsing module aiming at the historical access information, and establishing a browsing safety evaluation strategy of the corresponding information browsing module according to the browsing habit data;
s3, carrying out safety exception analysis and exception verification on the current clinical data information browsing according to the browsing safety evaluation strategy of the corresponding information browsing module.
3. The blockchain-based clinical data privacy management system of claim 2, wherein the historical access information includes a historical browsing record and a daily browsing volume.
4. A blockchain-based clinical data privacy management system as defined in claim 3, wherein the method of security exception analysis comprises:
obtaining various average values in the historical browsing clinical data of the information browsing module user according to the page number of the browsing clinical data in the browsing record, the browsing speed and the time length of browsing the clinical data in a specific time period;
comparing the number of pages, the browsing speed and the time length of browsing the clinical data in a specific time period in the current process of browsing the clinical data with various average values in the historical browsing clinical data to obtain abnormal parameters of the current browsing clinical data;
comparing the abnormal parameters with a preset safety threshold, if the abnormal parameters are smaller than or equal to the preset safety threshold, not sending out abnormal verification information, and if the abnormal parameters are larger than the preset safety threshold, sending out abnormal verification information.
5. The blockchain-based clinical data privacy management system of claim 4, wherein the predetermined security threshold is determined by:
and obtaining a preset safety threshold value of the corresponding information browsing module according to different information browsing modules of the user.
6. The blockchain-based clinical data privacy management system of claim 5, wherein the method of security exception analysis further comprises:
establishing a daily browsing amount change curve of the visiting user according to the daily browsing amount of a specific time period before the visiting date, and fitting the K value of the curve according to a linear regression algorithm;
judging the influence of the current access on the K value:
when the K value increment caused by the current access is larger than a preset abnormal threshold value, abnormal verification information is sent out;
otherwise, no abnormal verification information is sent out.
7. The blockchain-based clinical data privacy management system of claim 1, further comprising:
and the search control module is used for periodically downloading and decrypting the clinical data on the private blockchain, then regenerating the key for encryption and uploading the key into the private blockchain, generating the key into the information browsing module, and simultaneously inputting the key words in the decrypted clinical data into internet big data for searching so as to regulate the period of updating the key.
8. The blockchain-based clinical data privacy management system of claim 7, wherein the method of adjusting the period of updating the key comprises:
the key words in the decrypted clinical data are input to internet big data for searching,
when the same keyword exists on the internet big data, the period of updating the key is regulated and shortened, the network supervision department complains to delete the same keyword information on the internet big data,
and when the same keyword is not searched for a preset number of times, resetting the period of updating the key to an initial preset period.
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