CN110414203B - Internet medical identity authentication method based on block chain technology - Google Patents
Internet medical identity authentication method based on block chain technology Download PDFInfo
- Publication number
- CN110414203B CN110414203B CN201910683824.6A CN201910683824A CN110414203B CN 110414203 B CN110414203 B CN 110414203B CN 201910683824 A CN201910683824 A CN 201910683824A CN 110414203 B CN110414203 B CN 110414203B
- Authority
- CN
- China
- Prior art keywords
- chain
- private
- block
- block chain
- record
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000005516 engineering process Methods 0.000 title claims abstract description 17
- 238000013500 data storage Methods 0.000 claims abstract description 11
- 238000000605 extraction Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 102000003712 Complement factor B Human genes 0.000 claims description 2
- 108090000056 Complement factor B Proteins 0.000 claims description 2
- 239000003181 biological factor Substances 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2107—File encryption
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Bioethics (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Collating Specific Patterns (AREA)
- Storage Device Security (AREA)
Abstract
The invention discloses an internet medical identity authentication method based on a block chain technology, which belongs to the technical field of block chains, and is characterized in that a block chain architecture is established, wherein the block chain architecture comprises a service layer, a data storage layer and a data generation layer, an alliance chain is established in the service layer, a private block chain is established in the data storage layer, and a hospital server and a face recognition device are established in the data generation layer, so that the technical problems of data security storage and identity authentication are solved.
Description
Technical Field
The invention belongs to the technical field of block chains, and particularly relates to an internet medical identity authentication method based on a block chain technology.
Background
Nowadays, the medical industry is transforming from the traditional medical treatment mode to the intelligent medical treatment mode, the occurrence of the alternative diagnosis condition can be avoided through the identification of the identity of medical personnel in the internet medical treatment system, the safety of the system and the safety of user information are ensured, but the increasing network safety problem brings hidden danger to the implementation of the intelligent medical treatment.
The unified problem of the digital identity and the physical identity of the user is gradually highlighted, the biometric feature encryption theory, the biometric feature encryption method and the biometric feature encryption technology are developed, the defect of biometric feature authentication is overcome, the fingerprint and face recognition level is broken through by means of the artificial intelligence technology, and large-scale application is formed.
Disclosure of Invention
The invention aims to provide an internet medical identity authentication method based on a block chain technology, which solves the technical problems of data security storage and identity authentication.
In order to achieve the purpose, the invention adopts the following technical scheme:
an internet medical identity authentication method based on a block chain technology comprises the following steps:
step 1: establishing a block chain architecture, wherein the block chain architecture comprises a service layer, a data storage layer and a data generation layer, establishing an alliance chain in the service layer, establishing a private block chain in the data storage layer, and establishing a hospital server and a face recognition device in the data generation layer;
each hospital is provided with a hospital server, a face recognition device and a private block chain;
all private block chains communicate with the alliance chain through the internet;
step 2: in a data generation layer, a hospital server collects fingerprint images of human faces through a human face recognition device, and the hospital server preprocesses the collected fingerprint images to reduce the noise of the fingerprint images;
and 3, step 3: the hospital server performs feature extraction on the preprocessed fingerprint image through a fuzzy extraction technology to obtain biological features, and establishes a feature database for storing the biological features in a private block chain;
and 4, step 4: the private block chain consists of a private chain block header, a private chain payload, a private chain signature and a private chain timestamp; the private chain block header contains the block ID, block size, and hash value of the previous block; the private chain payload includes a biometric generator or ID, a pseudo-identity of a biometric owner, an encrypted biometric hash, and a key;
the private blockchain stores the information abstracts of the remote doctors and the positions of the specific data in the cloud storage;
the newly generated blocks of the hospital server are added to the main chain after verification to form permanent storage of data;
the private block chain ensures that all blocks are linked according to a time sequence through a timestamp, ensures that data are not tampered through a hash function, and realizes identity authentication through public key encryption;
and 5: the federation chain comprises a community block header, a community payload, a community signature, and a community timestamp; the structure of the community chunk header is similar to that of the private chain chunk header, also including a hash value containing the chunk ID, chunk size, and previous chunk;
the community payload includes a chunk generator ID and a security index, the chunk generator ID being the ID of the hospital server, the hospital server creating a chunk at intervals during which the hospital server collects the biometrics generated during the interval;
the block stores a security index only in a payload of a federation chain, the security index including a plurality of transactions, each transaction recording a security index for a user, the transactions including a block ID, an owner pseudo ID, and a key;
step 6: a hospital, as an owner of biological characteristics, can generate a record every time a new biological characteristic is acquired, perform hash value calculation on the record, perform signature on the hash value, encrypt the biological characteristic by adopting the record and signature of a user and a public key of a user person, store the record in cloud storage under a private block chain, and write the hash value and the position of the record into the private block chain;
the private blockchain sends the biometric to the federation chain for sharing;
and 7: after receiving the biological characteristics through the alliance chain, the user decrypts the ciphertext by using the private key of the user to obtain the hash value and the signature of the original record, verifies the integrity and the authenticity of the record, encrypts the original record by using the symmetric key and collects the encrypted record into the biological characteristic storage space of the user.
Preferably, the face recognition device is a camera.
Preferably, in step 2, the preprocessing of the acquired fingerprint image includes light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering and sharpening of the face image.
Preferably, all of the biometric-related information is stored in a ciphertext format.
The invention relates to an internet medical identity authentication method based on a block chain technology, which solves the technical problems of data security storage and identity authentication, applies the block chain technology to solve the security problems of data storage and access in an identity authentication system, provides a secure distributed storage mechanism for the storage of biological characteristics of users, can share identity information data in a cooperative hospital, and realizes data sharing under the condition of ensuring data security.
Drawings
FIG. 1 is a block chain architecture of the present invention;
FIG. 2 is a flow chart of fingerprint image processing of the present invention;
FIG. 3 is a flow diagram of the fuzzy extraction technique of the present invention;
FIG. 4 is a composition diagram of the private blockchain of the present invention;
FIG. 5 is a component diagram of the federation chain of the present invention.
Detailed Description
As shown in fig. 1 to 5, an internet medical identity authentication method based on a block chain technology includes the following steps:
step 1: establishing a block chain architecture, wherein the block chain architecture comprises a service layer, a data storage layer and a data generation layer, establishing an alliance chain in the service layer, establishing a private block chain in the data storage layer, and establishing a hospital server and a face recognition device in the data generation layer;
each hospital is provided with a hospital server, a face recognition device and a private block chain;
all private block chains communicate with the alliance chain through the internet;
step 2: in a data generation layer, a hospital server collects fingerprint images of human faces through a human face recognition device, and the hospital server preprocesses the collected fingerprint images to reduce the noise of the fingerprint images;
and 3, step 3: the hospital server performs feature extraction on the preprocessed fingerprint image through a fuzzy extraction technology to obtain biological features, and establishes a feature database for storing the biological features in a private block chain;
the public information of the biological characteristics comprises biological characteristic metadata, storage positions of encrypted records, hash values, access rights and the like, and the information is stored on the private block chain and is sent to the alliance chain through the private block chain, so that the public information can be seen and cannot be tampered.
As shown in fig. 3, the fuzzy extraction technique consists of two processes, i.e., (σ, pg) = gen (B), where a biometric factor B is input and processed by a program to obtain a random string σ and a random ancillary string, i.e., (σ, pg) = gen (B); the random string σ is a secret string and the random helper string σ is a public string.
During the reconstruction process, a biological factor is input
(similar to B) and its corresponding helper string enable recovery of the previous string, i.e., the Ag string
. Wherein,
close to B should satisfy
Wherein
is a function of the distance between the two electrodes,
represents the character strings B and
the number of different positions;
is the error threshold.
And 4, step 4: the private block chain consists of a private chain block header, a private chain payload, a private chain signature and a private chain timestamp; the private chain block header contains the block ID, block size, and hash value of the previous block; the private chain payload includes a biometric generator or ID, a pseudo-identity of a biometric owner, an encrypted biometric hash, and a key;
the private blockchain stores the information abstracts of the remote doctors and the positions of the specific data in the cloud storage;
the newly generated blocks of the hospital server are added to the main chain after verification to form permanent storage of data;
the private block chain ensures that all blocks are linked according to a time sequence through a timestamp, ensures that data are not tampered through a hash function, and realizes identity authentication through public key encryption;
and 5: the federation chain comprises a community block header, a community payload, a community signature, and a community timestamp; the structure of the community chunk header is similar to that of the private chain chunk header, also including a hash value containing the chunk ID, chunk size, and previous chunk;
the community payload includes a chunk generator ID and a security index, the chunk generator ID being the ID of the hospital server, the hospital server creating a chunk at intervals during which the hospital server collects the biometrics generated during the interval;
the block stores a security index only in the payload of the federation chain, the security index including a plurality of transactions, each transaction recording a security index for a user, the transactions including a block ID, an owner pseudo ID, and a key;
such as: the transactions in the secure index include Tx1, tx2.. Txn, Tx2 includes a block ID, an owner pseudo ID, and a key.
Blocks store secure indexes only in the payload of the federated blockchain, without preserving the original biometric
Step 6: a hospital, as an owner of biological characteristics, can generate a record every time a new biological characteristic is acquired, perform hash value calculation on the record, perform signature on the hash value, encrypt the biological characteristic by adopting the record and signature of a user and a public key of a user person, store the record in cloud storage under a private block chain, and write the hash value and the position of the record into the private block chain; confidentiality and authenticity of a data source are guaranteed, and safety of data storage is guaranteed due to the distributed storage characteristic of cloud storage.
Only the metadata of the biological characteristics is stored in the private chain, the data is encrypted and stored in a cloud storage structure under the chain, only the position information of a ciphertext is stored in the private chain, and the encryption key of a user is not used for decrypting plaintext information of doctor identity information, so that any real data related to the biological characteristics cannot be acquired from public information of the private chain.
The private blockchain sends the biometric to the federation chain for sharing;
and 7: after receiving the biological characteristics through the alliance chain, the user decrypts the ciphertext by using the private key of the user to obtain the hash value and the signature of the original record, verifies the integrity and the authenticity of the record, encrypts the original record by using the symmetric key and collects the encrypted record into the biological characteristic storage space of the user.
Only authorized users can obtain the decryption key, check the real record and further match the identity information.
Preferably, the face recognition device is a camera.
Preferably, in step 2, the preprocessing performed on the acquired fingerprint image includes light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering and sharpening of the face image.
Preferably, all of the biometric-related information is stored in a ciphertext format, i.e., a block stores a pseudo-identity of the owner of the data, the pseudo-identity being derived from the real identity.
Because doctors need to go to different hospitals to conduct remote consultation, the identity information of the doctors needs to exist in different hospitals, and the invention constructs two block chains in order to realize the intercommunication system of the cooperative hospital information: the private block chain of each hospital and the alliance chain of cooperative hospitals, and the identity information of doctors is stored in the private block chain of the corresponding hospital, so that the system has the advantages of high transaction speed, good confidentiality, low cost, good safety performance and the like.
In addition, hospitals send searchable keywords in their private blockchains to the federation chains, in such a way that the doctor's identity information stores are distributed and invariant, and they are searchable.
The invention relates to an internet medical identity authentication method based on a block chain technology, which solves the technical problems of data security storage and identity authentication, applies the block chain technology to solve the security problems of data storage and access in an identity authentication system, provides a secure distributed storage mechanism for the storage of biological characteristics of users, can share identity information data in a cooperative hospital, and realizes data sharing under the condition of ensuring data security.
Claims (4)
1. An internet medical identity authentication method based on a block chain technology is characterized in that: the method comprises the following steps:
step 1: establishing a block chain architecture, wherein the block chain architecture comprises a service layer, a data storage layer and a data generation layer, an alliance chain is established in the service layer, a private block chain is established in the data storage layer, and a hospital server and a face recognition device are established in the data generation layer;
each hospital is provided with a hospital server, a face recognition device and a private block chain;
all private block chains communicate with the alliance chain through the internet;
step 2: in a data generation layer, a hospital server collects fingerprint images of human faces through a human face recognition device, and the hospital server preprocesses the collected fingerprint images to reduce the noise of the fingerprint images;
and step 3: the hospital server performs feature extraction on the preprocessed fingerprint image through a fuzzy extraction technology to obtain biological features, and establishes a feature database for storing the biological features in a private block chain;
the fuzzy extraction technique consists of two processes, i.e., (sigma, Ag) = Gen (B), where a biometric factor B is input and processed by a program in the generation process to obtain a random string sigma and a random helper string, i.e., (sigma, Ag) = Gen (B); the random string σ is a secret string, and the random helper string σ is a public string;
during the reconstruction process, a biological factor is input
And corresponding auxiliary character string
The previous string could be recovered, i.e., σ = Rep (
,ɡ) ；
Wherein,
should satisfy the condition close to B
Wherein,
is a function of the distance between the two electrodes,
represents the character strings B and
the number of different positions;
is the error threshold;
and 4, step 4: the private block chain consists of a private chain block header, a private chain payload, a private chain signature and a private chain timestamp; the private chain block header contains the block ID, block size, and hash value of the previous block; the private chain payload includes a biometric generator or ID, a pseudo-identity of a biometric owner, an encrypted biometric hash, and a key;
the private blockchain stores the information abstracts of the remote doctors and the positions of the specific data in the cloud storage;
the newly generated blocks of the hospital server are added to the main chain after verification to form permanent storage of data;
the private block chain ensures that all blocks are linked according to a time sequence through a timestamp, ensures that data are not tampered through a hash function, and realizes identity authentication through public key encryption;
and 5: the federation chain comprises a community block header, a community payload, a community signature, and a community timestamp; the structure of the community chunk header is similar to that of the private chain chunk header, also including a hash value containing the chunk ID, chunk size, and previous chunk;
the community payload includes a chunk generator ID and a security index, the chunk generator ID being the ID of the hospital server, the hospital server creating a chunk at intervals during which the hospital server collects the biometrics generated during the interval;
the block stores a security index only in a payload of a federation chain, the security index including a plurality of transactions, each transaction recording a security index for a user, the transactions including a block ID, an owner pseudo ID, and a key;
step 6: a hospital, as an owner of biological characteristics, can generate a record every time a new biological characteristic is acquired, perform hash value calculation on the record, perform signature on the hash value, encrypt the biological characteristic by adopting the record and signature of a user and a public key of a user person, store the record in cloud storage under a private block chain, and write the hash value and the position of the record into the private block chain;
the private blockchain sends the biometric to the federation chain for sharing;
and 7: after receiving the biological characteristics through the alliance chain, the user decrypts the ciphertext by using the private key of the user to obtain the hash value and the signature of the original record, verifies the integrity and the authenticity of the record, encrypts the original record by using the symmetric key and collects the encrypted record into the biological characteristic storage space of the user.
2. The internet medical identity authentication method based on the block chain technology as claimed in claim 1, wherein: the face recognition device is a camera.
3. The internet medical identity authentication method based on the block chain technology as claimed in claim 1, wherein: in step 2, the preprocessing of the collected fingerprint image includes light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering and sharpening of the face image.
4. The internet medical identity authentication method based on the block chain technology as claimed in claim 1, wherein: all the biometric-related information is stored in a ciphertext format.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910683824.6A CN110414203B (en) | 2019-07-26 | 2019-07-26 | Internet medical identity authentication method based on block chain technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910683824.6A CN110414203B (en) | 2019-07-26 | 2019-07-26 | Internet medical identity authentication method based on block chain technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110414203A CN110414203A (en) | 2019-11-05 |
| CN110414203B true CN110414203B (en) | 2022-06-17 |
Family
ID=68363444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910683824.6A Active CN110414203B (en) | 2019-07-26 | 2019-07-26 | Internet medical identity authentication method based on block chain technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110414203B (en) |
Families Citing this family (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111125755B (en) * | 2019-12-12 | 2024-07-02 | 陕西医链区块链集团有限公司 | Medical field data processing system and method based on block chain architecture technology |
| CN111143889B (en) * | 2019-12-26 | 2023-05-26 | 腾讯科技（深圳）有限公司 | Block chain-based stimulant detection information management method, device and equipment |
| CN111222126B (en) * | 2019-12-27 | 2022-07-19 | 陈强 | Medical identity authentication system based on block chain technology |
| CN111709048A (en) * | 2020-05-15 | 2020-09-25 | 山西警察学院 | Data security sharing method based on private chain |
| CN111553694A (en) * | 2020-05-21 | 2020-08-18 | 陈议尊 | Distributed storage block chain method and system |
| CN113722749A (en) * | 2020-05-26 | 2021-11-30 | 北京北信源软件股份有限公司 | Data processing method and device for block chain BAAS service based on encryption algorithm |
| CN111680105B (en) * | 2020-06-15 | 2023-09-22 | 浙江创邻科技有限公司 | Management method and system of distributed relational database based on block chain |
| CN111967054A (en) * | 2020-06-30 | 2020-11-20 | 国网浙江省电力有限公司培训中心 | Block chain-based anti-electricity-stealing evidence-obtaining image data storage method and system |
| CN112002436B (en) * | 2020-07-28 | 2024-02-09 | 珠海健康云科技有限公司 | Block chain-based medical question answering method, device and medium |
| CN111710418A (en) * | 2020-08-01 | 2020-09-25 | 郭秀桥 | Face recognition diagnosis sharing system |
| CN111967028B (en) * | 2020-08-04 | 2021-05-25 | 中国科学院上海微系统与信息技术研究所 | Data interaction system |
| CN112134710B (en) * | 2020-09-21 | 2023-05-12 | 南京工程学院 | Blacklist recording method and system based on blockchain |
| CN112559627B (en) * | 2020-12-11 | 2023-08-04 | 东北大学 | Method for sharing electronic medical record data in cooperation with each other on chain and under chain based on alliance chain |
| CN112699406A (en) * | 2020-12-30 | 2021-04-23 | 浙江飞图影像科技有限公司 | Block chain-based medical image data security management method and system |
| CN113963807A (en) * | 2021-10-21 | 2022-01-21 | 南京邮电大学 | Electronic immune passport supervision method based on block chain |
| CN114398449B (en) * | 2021-12-29 | 2023-01-06 | 深圳市海清视讯科技有限公司 | Data processing method, device, video monitoring system and storage medium |
| CN114400081A (en) * | 2022-01-21 | 2022-04-26 | 深圳市铱硙医疗科技有限公司 | Medical resource management method and system |
| WO2023161830A1 (en) * | 2022-02-23 | 2023-08-31 | Chernobelsky Ivgenia | Distributed electronic ledger storage including reduced images |
| CN114697044A (en) * | 2022-03-29 | 2022-07-01 | 国网山东省电力公司信息通信公司 | Identity authentication module integrated system based on block chain technology |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682530A (en) * | 2017-01-10 | 2017-05-17 | 杭州电子科技大学 | Method and device for medical information sharing privacy protection based on blockchain technology |
| CN107819770A (en) * | 2017-11-15 | 2018-03-20 | 中国联合网络通信集团有限公司 | Medical data sharing method for secret protection and device based on block chain |
| CN109753817A (en) * | 2018-12-28 | 2019-05-14 | 全链通有限公司 | Medical information secure storage scheme based on block chain |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11270263B2 (en) * | 2013-09-12 | 2022-03-08 | Netspective Communications Llc | Blockchain-based crowdsourced initiatives tracking system |
| CN106354994B (en) * | 2016-08-22 | 2019-01-18 | 布比（北京）网络技术有限公司 | Handle the method and system of medical data |
| CN107845421A (en) * | 2017-11-23 | 2018-03-27 | 郑州大学第附属医院 | A kind of Tele-consultation System and its method based on data interaction |
| CN109102209A (en) * | 2018-09-05 | 2018-12-28 | 深圳正品创想科技有限公司 | A kind of commodity distribution method and its system based on block chain |
| CN109326337B (en) * | 2018-09-06 | 2021-09-03 | 西安电子科技大学 | Model and method for storing and sharing electronic medical record based on block chain |
| CN109660350A (en) * | 2018-10-31 | 2019-04-19 | 阿里巴巴集团控股有限公司 | Data based on block chain deposit card method and device, electronic equipment |
-
2019
- 2019-07-26 CN CN201910683824.6A patent/CN110414203B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682530A (en) * | 2017-01-10 | 2017-05-17 | 杭州电子科技大学 | Method and device for medical information sharing privacy protection based on blockchain technology |
| CN107819770A (en) * | 2017-11-15 | 2018-03-20 | 中国联合网络通信集团有限公司 | Medical data sharing method for secret protection and device based on block chain |
| CN109753817A (en) * | 2018-12-28 | 2019-05-14 | 全链通有限公司 | Medical information secure storage scheme based on block chain |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110414203A (en) | 2019-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110414203B (en) | Internet medical identity authentication method based on block chain technology | |
| Singh et al. | A survey on healthcare data: a security perspective | |
| US11108546B2 (en) | Biometric verification of a blockchain database transaction contributor | |
| JP3230238U (en) | A system for securely storing electronic data | |
| CN110008746B (en) | Block chain-based medical record storage, sharing and safety claim settlement model and method | |
| CN110299195B (en) | Electronic medical record sharing system with privacy protection based on alliance chain and application method | |
| CN107819587B (en) | Authentication method based on fully homomorphic encryption, user equipment and authentication server | |
| CN107332659B (en) | Identity authentication method, storage medium and system based on biological characteristics | |
| WO2017215504A1 (en) | Identity recognition and social information recording method and system based on biological information | |
| Aparna et al. | An efficient medical image watermarking technique in E-healthcare application using hybridization of compression and cryptography algorithm | |
| CN111274594B (en) | Block chain-based secure big data privacy protection sharing method | |
| CN109117662B (en) | Block chain-based electronic medical record security searching method | |
| CN110505047B (en) | Double encryption method for iris feature protection | |
| CN114938382B (en) | Electronic medical record safe and controllable sharing method based on alliance block chain | |
| CN115765965A (en) | Medical data safety sharing method based on federal learning and double union block chains | |
| CN115296845A (en) | Medical data hierarchical access control method and system based on attribute encryption | |
| CN114553582A (en) | Electronic medical record sharing method based on national cryptographic algorithm and IPFS | |
| CN114065169B (en) | Privacy protection biometric authentication method and device and electronic equipment | |
| CN116318617A (en) | Medical rescue material charity donation method based on RFID and blockchain | |
| Yadav et al. | An IoT based secure patient health monitoring system | |
| Sharma et al. | A survey on biometric cryptosystems and their applications | |
| Velciu et al. | Bio-cryptographic authentication in cloud storage sharing | |
| Rizzi et al. | Digital watermarking for healthcare: a survey of ECG watermarking methods in telemedicine | |
| Sankari et al. | Steganography technique to secure patient confidential information using ECG signal | |
| Sarkar et al. | A review on different biometric template protection methods |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |