CN111046416B - Big health data management system based on block chain - Google Patents
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Abstract
The invention provides a block chain-based big health data management platform which comprises a big health data management cloud server, a plurality of user sides, a management side and a safety detection server. According to the invention, the big health data management cloud server is used as a block chain link point to be added into the block chain network, and the health data is broadcast to the block chain network, so that the health data of a user can be prevented from being illegally tampered; by comparing the script set corresponding to the big health data management website with the user side access request response script set, whether the use environment of the user side is safe or not can be quickly and accurately obtained, so that the leakage of basic information and health data of a user can be effectively avoided, and the privacy safety of the user is guaranteed; the dynamic health detection data is processed in a segmented mode, on the premise that more accurate information and stable health data are reserved, a sample paragraph containing a large amount of interference noise is removed, the workload of platform management personnel is greatly reduced, and the accuracy of data management and analysis is improved.
Description
Technical Field
The invention relates to the field of block chain big data, in particular to a big health data management system based on a block chain.
Background
At present, with the continuous improvement of people's standard of living, people attach more and more importance to individual health status, generally can go to hospital or physical examination center regularly and carry out the general inspection, and each business entity also can carry out regular physical examination to the staff. The application scenes of the block chain technology are very wide, the development directions of various industries are continuously changed due to the promotion of the block chain technology, the achievement of the block chain technology in various industries is more and more obvious, and after physical examination is finished, people still need to go to a hospital or a physical examination center to take the physical examination result, so that the wealth is lost by people, and paper is greatly wasted. Therefore, the electronic version physical examination result combining the physical examination data and the block chain is generated at the beginning, the electronic version physical examination result is generally generated by a big health data management server in a big health data management platform according to the health data, and a user only needs to access the big health data management server through a user side to download the health data. However, the following problems exist in practical use:
the health data is stored in the big health data management server, so once the big health data management server is attacked by a lawbreaker, the user health data on the big health data management server is easy to be illegally tampered; because the use environment of the user end is very complex, the user end is very easy to plant malicious codes by lawbreakers, and thus the basic information and health data of the user are easily leaked; when the management terminal in the big health data management platform uploads the health data of the user, the communication signal is unstable, and sometimes, a large amount of noise data is contained, and if the data are directly discarded, a lot of useful information can be lost.
Disclosure of Invention
The invention aims to solve the problems found in the background art and provides a large health data management system based on a block chain.
In order to achieve the purpose, the invention adopts the following technical scheme: a big health data management system based on a block chain is characterized by comprising a big health data management cloud server, a plurality of user sides, a management side and a safety detection server;
the big health data management cloud server is used for processing and storing health data of a user, adding the big health data management cloud server into a block chain network as a block chain link point, and broadcasting the health data into the block chain network;
the user side is used for setting access authority to the big health data management cloud server and downloading health data corresponding to the authority from the big health data management cloud server;
the management terminal is used for uploading, downloading and modifying the health data of the user to the big health data management cloud server;
the security detection server is used for detecting the security of an access request sent by the user side to the big health data management cloud server, if the security passes, the user side is allowed to access the big health data management cloud server, and if not, the user side is refused to access the big health data management cloud server.
The big health data management cloud server is used as a block chain link point to be added into a block chain network, and health data are broadcast into the block chain network, so that the health data of a user can be prevented from being illegally tampered; meanwhile, through the detection of the safety detection server, the leakage of the basic information and the health data of the user can be effectively avoided, and the privacy safety of the user is guaranteed.
Further, the big health data management cloud server is further configured to select a node with a blockchain write permission from a blockchain network based on a preset consensus mechanism, where the node is configured to generate a blockchain from the broadcasted health data, and broadcast the generated blockchain to a blockchain system, so that the generated blockchain is added to the blockchain network.
Further, the security detection server is configured to detect security of an access request sent by the user side to the big health data management cloud server, and specifically includes:
s1, acquiring a browser history of a user side and a big health data management website in all health-related webpage addresses in a browser address input field, separating to obtain a framework of the big health data management website, and embedding the health-related webpage addresses into the acquired framework to obtain health-related webpages containing script data;
s2: analyzing the health-related webpage to obtain health-related webpage addresses and corresponding script data contained in the health-related webpage, and reversely inquiring all known script sets according to the obtained health-related webpage addresses and the corresponding script data to obtain a script set corresponding to the large health data management website;
s3: after the big health data management cloud server receives the access request of the user side, the big health data management cloud server feeds back a user side access request response, the scripts contained in the user side access request response are separated, and a user side access request response script set is formed;
s4: and comparing and analyzing the script set corresponding to the big health data management website with the user side access request response script set, and judging whether potential safety hazards exist.
By comparing the script set corresponding to the big health data management website with the user side access request response script set, whether the use environment of the user side is safe or not can be quickly and accurately obtained, so that the basic information and the health data of the user can be effectively prevented from being leaked, and the privacy safety of the user is guaranteed.
Further, the script set corresponding to the big health data management website and the user side access request response script set are compared and analyzed to determine whether a potential safety hazard exists, which specifically includes:
s41: decoding and converting character strings in the script set corresponding to the big health data management website and the user side access request response script set, so that the character strings in the script set corresponding to the big health data management website and the user side access request response script set are converted into readable formats;
s42: recording the calculation step number of converting the character strings in the readable format in the script set corresponding to the big health data management website into the character strings in the readable format corresponding to the user side access request response script set;
s43: dividing the calculation steps by the length of the character string in the readable format in the script set corresponding to the big health data management website and the length of the character string in the readable format in the user side access request response script set, and taking the larger value as a safety value;
s43: if the safety value is larger than the safety threshold value, completeness exists, otherwise, completeness does not exist.
The character strings in the script set are decoded and converted firstly, then the converted step number is calculated, finally the step number is divided by the length of the character strings in the two script sets respectively, and the larger value is taken as a safety value, so that the safety of the user side environment can be judged simply and conveniently by comparing the safety values, and the missing report rate and the false report rate are low.
Further, the accessing, by the user side, of the big health data management cloud server specifically includes:
the user side randomly generates an encryption key, makes an encryption rule, encrypts basic user information to generate a user information ciphertext and sends the user information ciphertext to the big health data management cloud server;
after receiving the user information ciphertext, the big health data management cloud server executes a coin throwing protocol with the user side to obtain protocol encrypted data corresponding to the ciphertext received by the big health data management cloud server;
the big health data management cloud server decrypts a user information ciphertext according to the key, the encryption rule and the protocol encryption data to obtain user basic information;
and the big health data management cloud server retrieves corresponding health data according to the basic user information and sends the health data to the user side.
Through the encryption key and the coin throwing protocol, data sent by the user side are encrypted in multiple two directions, so that basic information of the user and health data of the big health data management cloud server are not leaked, and privacy and safety of transmission of the big health data are effectively improved.
Further, when the management end uploads the health data to the big health data management cloud server: the big health data management cloud server obtains a detection value y (i), i =1,2, …, N, N in user health data uploaded by a management end, and calculates a health data transmission stable value for the total number of the obtained health data detection values:
wherein, t is the acquisition period of the health data detection value, x (i + n) and x (i) are respectively the i + n th health data detection value and the ith health data detection value, and n is a selected constant;
when w is i When the first time is larger than the preset threshold value, recording i and determining the selected health data detection value sample interval [ i-k, i + k ]]Wherein
Wherein M is the total size of the user health data packets uploaded by the management terminal, and v is the average speed of stable data transmission between the large health data management cloud server and the management terminal;
and performing quality evaluation on the health data detection values in the determined interval [ i-k, i + k ], wherein the quality evaluation result is divided into health detection data with acceptable quality and health detection data with unacceptable quality, so that the health detection data with acceptable quality is screened out.
The method can realize the segmented processing of the dynamic health detection data, and removes a large number of sample paragraphs containing interference noise on the premise of keeping more accurate information and stabilizing health data, so that misjudgment can not be caused, and a lot of effective information can not be lost due to discarding of the data containing noise, thereby greatly reducing the workload of platform management personnel and improving the accuracy of data management and analysis.
Further, the user health data is one or more of an electrocardiosignal, a blood pressure value, a blood sugar value, a blood fat and the like.
Further, the health data broadcast into the blockchain network is encrypted health data.
Further, the security detection server is a local server, a local area network server or a cloud server.
Further, the consensus mechanism is a PoW consensus mechanism, or a PoS consensus mechanism, or a DPoS consensus mechanism.
Compared with the prior art, the invention has the advantages that:
1: the big health data management cloud server is used as a block chain link point to be added into a block chain network, and health data are broadcast into the block chain network, so that the health data of a user can be prevented from being illegally tampered;
2. by comparing the script set corresponding to the big health data management website with the user side access request response script set, whether the use environment of the user side is safe or not can be quickly and accurately obtained, so that the leakage of basic information and health data of a user can be effectively avoided, and the privacy safety of the user is guaranteed;
3. the method comprises the steps of firstly decoding and converting character strings in script sets, then calculating the number of converted steps, finally dividing the number of steps by the length of the character strings in the two script sets respectively, and taking a larger value as a safety value, so that the safety of the environment of a user end can be simply and conveniently judged by comparing the safety values, and the missing report rate and the false report rate are low;
4. through an encryption key and a coin throwing protocol, data sent by a user side is encrypted in multiple two directions, so that basic information of the user and health data of a big health data management cloud server are not leaked, and the privacy and the safety of big health data transmission are effectively improved;
5. the method can realize the segmented processing of the dynamic health detection data, and removes a large number of sample paragraphs containing interference noise on the premise of keeping more accurate information and stabilizing health data, so that misjudgment can not be caused, and a lot of effective information can not be lost due to discarding of the data containing noise, thereby greatly reducing the workload of platform management personnel and improving the accuracy of data management and analysis.
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FIG. 1 is a schematic diagram of a control system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example (b):
referring to fig. 1, the embodiment provides a big health data management system based on a block chain, which is characterized by comprising a big health data management cloud server, a plurality of user terminals, a management terminal and a security detection server; the big health data management cloud server is used for processing and storing health data of a user, adding the big health data management cloud server into a block chain network as a block chain link point, and broadcasting the health data into the block chain network; the user side is used for setting access authority to the big health data management cloud server and downloading health data corresponding to the authority from the big health data management cloud server; the management terminal is used for uploading, downloading and modifying the health data of the user to the big health data management cloud server; the security detection server is used for detecting the security of an access request sent by the user side to the big health data management cloud server, if the security passes, the user side is allowed to access the big health data management cloud server, and otherwise, the user side is refused to access the big health data management cloud server.
The big health data management cloud server is further used for selecting a node with a blockchain write permission from a blockchain network based on a preset consensus mechanism, wherein the node is used for generating a blockchain from the broadcasted health data and broadcasting the generated blockchain to a blockchain system, so that the generated blockchain is added to the blockchain network. The safety detection server is a local server or a local area network server or a cloud server. The consensus mechanism is a PoW consensus mechanism, a PoS consensus mechanism or a DPoS consensus mechanism. The health data broadcast into the blockchain network is encrypted health data.
The security detection server is configured to detect security of an access request sent by the user side to the big health data management cloud server, and specifically includes:
s1, acquiring a browser history of a user side and a big health data management website in all health-related webpage addresses in a browser address input field, separating to obtain a framework of the big health data management website, and embedding the health-related webpage addresses into the acquired framework to obtain health-related webpages containing script data;
s2: analyzing the health-related webpage to obtain health-related webpage addresses and corresponding script data contained in the health-related webpage, and reversely inquiring all known script sets according to the obtained health-related webpage addresses and the corresponding script data to obtain a script set corresponding to the large health data management website;
s3: after the big health data management cloud server receives the access request of the user side, the big health data management cloud server feeds back a user side access request response, the scripts contained in the user side access request response are separated, and a user side access request response script set is formed;
s4: comparing and analyzing the script set corresponding to the big health data management website with the user side access request response script set, and judging whether potential safety hazards exist, wherein the method specifically comprises the following steps:
s41: decoding and converting character strings in the script set corresponding to the big health data management website and the user side access request response script set, so that the character strings in the script set corresponding to the big health data management website and the user side access request response script set are converted into readable formats;
s42: recording the calculation step number of converting the character strings in the readable format in the script set corresponding to the big health data management website into the character strings in the readable format corresponding to the user side access request response script set;
s43: dividing the calculation steps by the character string length of the readable format in the script set corresponding to the big health data management website and the character string length of the readable format corresponding to the user side access request response script set respectively, and taking a larger value as a safety value;
s43: if the safety value is larger than the safety threshold value, the safety threshold value can be set according to actual needs, completeness exists, and otherwise, completeness does not exist.
The character strings in the script set are decoded and converted firstly, then the converted step number is calculated, finally the step number is divided by the length of the character strings in the two script sets respectively, and the larger value is taken as a safety value, so that the safety of the user side environment can be judged simply and conveniently by comparing the safety values, and the missing report rate and the false report rate are low.
The method for accessing the big health data management cloud server by the user side specifically comprises the following steps:
the user side randomly generates an encryption key, makes an encryption rule, encrypts basic user information to generate a user information ciphertext and sends the user information ciphertext to the big health data management cloud server; after receiving the user information ciphertext, the big health data management cloud server executes a coin throwing protocol with the user side to obtain protocol encrypted data corresponding to the ciphertext received by the big health data management cloud server; the big health data management cloud server decrypts a user information ciphertext according to the key, the encryption rule and the protocol encryption data to obtain user basic information; and the big health data management cloud server retrieves corresponding health data according to the basic user information and sends the health data to the user side.
Through the encryption key and the coin throwing protocol, data sent by the user side are encrypted in multiple two directions, so that basic information of the user and health data of the big health data management cloud server are not leaked, and privacy and safety of transmission of the big health data are effectively improved.
When the management terminal uploads health data to the big health data management cloud server: the big health data management cloud server obtains a detection value y (i), i =1,2, …, N, N in user health data uploaded by a management end, and calculates a health data transmission stable value for the total number of the obtained health data detection values:
wherein, t is the acquisition period of the health data detection value, x (i + n) and x (i) are respectively the i + n th health data detection value and the ith health data detection value, and n is a selected constant;
when w is i When the first time is larger than the preset threshold value, recording i and determining the selected health data detection value sample interval [ i-k, i + k ]]In which
Wherein M is the total size of the user health data packets uploaded by the management terminal, and v is the average speed of stable data transmission between the large health data management cloud server and the management terminal;
and performing quality evaluation on the health data detection values in the determined interval [ i-k, i + k ], wherein the quality evaluation result is divided into health detection data with acceptable quality and health detection data with unacceptable quality, so that the health detection data with acceptable quality is screened out. Specifically, quality evaluation can be realized by constructing a convolutional neural network model, which is the prior art. The user health data is one or more of electrocardiosignals, blood pressure values, blood sugar values or blood fat and the like.
The method can realize the sectional processing of the dynamic health detection data, remove sample paragraphs containing a large amount of interference noise on the premise of keeping more accurate information and stabilizing the health data, not only can not cause misjudgment, but also can not lose a large amount of effective information because of abandoning the data containing the noise, thereby greatly reducing the workload of platform management personnel, improving the accuracy of data management and analysis, and the algorithm has high speed, only needs the acquisition period of the health data detection value and the (i + n) th and (i) th health data detection values to calculate, and greatly reduces the burden of additional calculation resources.
According to the big health data management platform, the big health data management cloud server is used as a block chain link point to be added into a block chain network, and health data are broadcast to the block chain network, so that the health data of a user can be prevented from being illegally tampered; by comparing the script set corresponding to the big health data management website with the user side access request response script set, whether the use environment of the user side is safe or not can be quickly and accurately obtained, so that the leakage of basic information and health data of a user can be effectively avoided, and the privacy safety of the user is guaranteed; the method comprises the steps of firstly decoding and converting character strings in script sets, then calculating the number of converted steps, finally dividing the number of steps by the length of the character strings in the two script sets respectively, and taking a larger value as a safety value, so that the safety of the environment of a user end can be simply and conveniently judged by comparing the safety values, and the missing report rate and the false report rate are low; through an encryption key and a coin throwing protocol, data sent by a user side is encrypted in multiple two directions, so that basic information of the user and health data of a big health data management cloud server are not leaked, and the privacy and the safety of big health data transmission are effectively improved; the method can realize the segmented processing of the dynamic health detection data, and removes a large number of sample paragraphs containing interference noise on the premise of keeping more accurate information and stabilizing health data, so that misjudgment can not be caused, and a lot of effective information can not be lost due to discarding of the data containing noise, thereby greatly reducing the workload of platform management personnel and improving the accuracy of data management and analysis.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered as the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (9)
1. A big health data management system based on a block chain is characterized by comprising a big health data management cloud server, a management end, a safety detection server and a plurality of user ends;
the big health data management cloud server is used for processing and storing health data of a user, adding the big health data management cloud server into a block chain network as a block chain link point, and broadcasting the health data into the block chain network;
the user side is used for setting access authority to the big health data management cloud server and downloading health data corresponding to the authority from the big health data management cloud server;
the management terminal is used for uploading, downloading and modifying the health data of the user to the big health data management cloud server;
the security detection server is used for detecting the security of an access request sent by the user side to the big health data management cloud server, if the security passes, the user side is allowed to access the big health data management cloud server, and otherwise, the user side is refused to access the big health data management cloud server;
the security detection server is configured to detect security of an access request sent by the user side to the big health data management cloud server, and specifically includes:
s1, acquiring a browser history of a user side and a big health data management website in all health-related webpage addresses in a browser address input field, separating to obtain a framework of the big health data management website, and embedding the health-related webpage addresses into the acquired framework to obtain health-related webpages containing script data;
s2: analyzing the health-related webpage to obtain health-related webpage addresses and corresponding script data contained in the health-related webpage, and reversely inquiring all known script sets according to the obtained health-related webpage addresses and the corresponding script data to obtain a script set corresponding to the large health data management website;
s3: after the big health data management cloud server receives the access request of the user side, the big health data management cloud server feeds back a user side access request response, separates scripts contained in the user side access request response and forms a user side access request response script set;
s4: and comparing and analyzing the script set corresponding to the big health data management website with the user side access request response script set, and judging whether potential safety hazards exist.
2. The system according to claim 1, wherein the big health data management cloud server is further configured to select a node with blockchain write permission from a blockchain network based on a predetermined consensus mechanism, and the node is configured to generate a blockchain from the broadcasted health data and broadcast the generated blockchain to the blockchain system, so that the generated blockchain is added to the blockchain network.
3. The big health data management system based on the blockchain according to claim 1, wherein the script set corresponding to the big health data management website is compared with the user side access request response script set to determine whether the potential safety hazard exists, specifically as follows:
s41: decoding and converting character strings in the script set corresponding to the big health data management website and the user side access request response script set, so that the character strings in the script set corresponding to the big health data management website and the user side access request response script set are converted into readable formats;
s42: recording the calculation step number of converting the character strings in the readable format in the script set corresponding to the big health data management website into the character strings in the readable format corresponding to the user side access request response script set;
s43: dividing the calculation steps by the length of the character string in the readable format in the script set corresponding to the big health data management website and the length of the character string in the readable format in the user side access request response script set, and taking the larger value as a safety value;
s43: if the safety value is larger than the safety threshold value, completeness exists, otherwise, completeness does not exist.
4. The big health data management system based on the blockchain according to claim 1, wherein the user side accesses the big health data management cloud server, specifically:
the user side randomly generates an encryption key, makes an encryption rule, encrypts basic user information to generate a user information ciphertext and sends the user information ciphertext to the big health data management cloud server;
after receiving the user information ciphertext, the big health data management cloud server executes a coin throwing protocol with the user side to obtain protocol encrypted data corresponding to the ciphertext received by the big health data management cloud server;
the big health data management cloud server decrypts a user information ciphertext according to the key, the encryption rule and the protocol encryption data to obtain user basic information;
and the big health data management cloud server retrieves corresponding health data according to the basic user information and sends the health data to the user side.
5. The big health data management system based on the blockchain as claimed in claim 1, wherein when the management terminal uploads the health data to the big health data management cloud server: the big health data management cloud server obtains a detection value y (i), i =1,2, …, N, N in user health data uploaded by a management end, and calculates a health data transmission stable value for the total number of the obtained health data detection values:
wherein, t is the acquisition cycle of the health data detection value, x (i + n) and x (i) are respectively the i + n th health data detection value and the i th health data detection value, and n is a selected constant;
when w is i When the first time is larger than the preset threshold value, recording i and determining the selected health data detection value sample interval [ i-k, i + k ]]Wherein
Wherein M is the total size of the user health data packets uploaded by the management terminal, and v is the average speed of stable data transmission between the large health data management cloud server and the management terminal;
and performing quality evaluation on the health data detection values in the determined interval [ i-k, i + k ], wherein the quality evaluation result is divided into health detection data with acceptable quality and health detection data with unacceptable quality, so as to screen out the health detection data with acceptable quality.
6. The blockchain-based big health data management system according to claim 5, wherein the user health data is one or more of an electrocardiosignal, a blood pressure value, a blood glucose value or a blood lipid.
7. The blockchain-based big health data management system according to claim 1, wherein the health data broadcast into the blockchain network is encrypted health data.
8. The big health data management system based on the blockchain as claimed in claim 1, wherein the security detection server is a local server or a local area network server or a cloud server.
9. The system according to claim 2, wherein the consensus mechanism is a PoW consensus mechanism, or a PoS consensus mechanism, or a DPoS consensus mechanism.
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