CN112487459B - Remote sensing metadata uplink method based on alliance chain - Google Patents
Remote sensing metadata uplink method based on alliance chain Download PDFInfo
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- CN112487459B CN112487459B CN202011434259.9A CN202011434259A CN112487459B CN 112487459 B CN112487459 B CN 112487459B CN 202011434259 A CN202011434259 A CN 202011434259A CN 112487459 B CN112487459 B CN 112487459B
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- 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
- G06F21/602—Providing cryptographic facilities or services
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- 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
- G06F21/33—User authentication using certificates
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- 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
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a remote sensing metadata linking method based on a alliance chain, which comprises the steps of firstly completing identity authenticity verification on a node user submitting uploaded data, returning a digital certificate of the node user, then carrying out independent serial number MID on the remote sensing metadata to be uploaded, encrypting and generating a decryption key, splitting the data into a plurality of data blocks through IPFS system service, storing each data block into different nodes in an IPFS network, packaging the data blocks into a set, generating a new data address, verifying the integrity of the data, and finally packaging a digital signature, the MID, the decryption key and the data address into a block and uploading the block to the alliance chain node.
Description
Technical Field
The invention belongs to the field of remote sensing image data sharing, and particularly relates to a remote sensing metadata uplink method based on a alliance chain.
Background
With the development of aerospace science and technology and the driving of application demands, more satellites are deployed on earth orbits, 7 civil high-resolution remote sensing satellites are launched by 2019 in China, and common sensor data such as optics, microwaves and infrared are covered.
The data file of a single remote sensing image starts to be changed into the GB level, the data size is becoming larger and larger, the data volume of the remote sensing image is increasing at the speed of several levels per day, and the data size is becoming larger and larger. In order to analyze and study, the demand for the remote sensing images with medium and high resolution is increasing. Therefore, the data volume of the remote sensing image increases very rapidly. For such large amounts of data, it must be considered that more efficient means for the production, management and storage of data are employed. The massive remote sensing image data brings great challenges to the current remote sensing data management system.
In recent years, large-scale multi-format, multi-type, multi-scale, cross-region and massive remote sensing observation data form
A distributed, heterogeneous, cross-department, distributed and resource type remote sensing image library group aims at realizing information sharing, data collection, storage, management and utilization of remote sensing data among departments, stores remote sensing metadata catalogs and remote sensing image data by a strategy of storing the remote sensing metadata catalogs separately, links the metadata catalogs up, and associates remote sensing metadata entity data in a data address mode.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a remote sensing metadata linking method based on a alliance chain, which adopts an alliance chain technology with an admission mechanism, encrypts and splits the data to be uploaded for storage, can ensure the non-tamper property of the data, enables the decentralization to be more thorough, and remarkably improves the efficiency and the use experience of retrieving the data.
The implementation method of the invention is as follows:
a remote sensing metadata uplink method based on a alliance chain comprises the following steps:
1) And (3) identity authentication: verifying the identity authenticity of the node user submitting the application data for uploading, and returning a digital certificate;
2) Uploading data: the remote sensing metadata to be uploaded is independently numbered MID, and is encrypted by a symmetric encryption algorithm to generate a decryption key;
3) And (3) storing data in blocks: splitting remote sensing metadata to be uploaded into a plurality of data blocks through an IPFS service, storing the data blocks into different nodes in an IPFS network, packaging the data blocks into a set, and performing hash calculation again to obtain a final data address;
4) Verification data: calculating the received encrypted data, comparing the data before encryption, and verifying the integrity of the data;
5) Data chaining: the digital signature, MID, decryption key and data address are packaged into blocks for uplink.
The identity authentication process in step 1) is as follows:
2.1 Verifying the identity of the user node applying for data uploading;
2.2 After passing the identity authentication, return its corresponding digital signature.
The uploading data process in the step 2) is as follows:
3.1 Extracting general information in the remote sensing metadata, including satellite names, sensors, resolution, acquisition time and cloud cover, and carrying out independent numbering MID again;
3.2 MID numbering rules): image resolution code, satellite name, sensor name, acquisition time and file number, wherein the image resolution code is represented by 1-bit English letters, the high resolution is H, the medium resolution is M, and the low resolution is L; the satellite names and the sensor names are not limited in length and are all fully called; the acquisition time is represented by a 6-bit digital, and YYMDD format is adopted; the file number will take a random 4-digit number;
3.3 The remote sensing metadata is encrypted by a symmetric encryption algorithm, and a decryption key is generated.
The data block storage process in the step 3) is as follows:
4.1 Splitting remote sensing metadata to be uploaded into a plurality of data blocks through an IPFS service;
4.2 Calculating a hash value of each data block by a content-based hash algorithm;
4.3 Distributed storage of data blocks to different nodes in the IPFS network;
4.4 All the data blocks are packed into a set, and hash calculation is performed again to obtain the final data address.
The process of verifying the data in the step 4) is as follows:
5.1 Receiving a digital signature of the node user for uploading the application data, and verifying the identity legitimacy of the node user;
5.2 After the authentication is passed, receiving an instruction that the target alliance node returns agreements to upload data;
5.3 After receiving the uploading instruction, obtaining decrypted remote sensing metadata by using the digital certificate and the decryption key, and judging whether the decrypted data is consistent with the original data or not.
Step 5) the data uplink process is as follows:
6.1 After passing identity authentication and data verification, packaging the digital signature, the MID, the decryption key and the data address into a data block for uplink by a alliance link point;
6.2 Using a consensus mechanism, broadcasting the data block to all consensus nodes.
Based on the technical scheme, the invention has the following beneficial effects:
the remote sensing metadata uplink method based on the alliance chain adopts an alliance chain technology with an access mechanism, encrypts and splits the data to be uploaded for storage, ensures the non-tamper property of the data, enables the decentralization to be more thorough, and remarkably improves the efficiency and the use experience of retrieving the data.
Drawings
FIG. 1 is a complete uplink diagram of remote sensing metadata according to the present invention.
Fig. 2 is a diagram of the data encryption storage according to the present invention.
FIG. 3 is a diagram of verification data integrity in accordance with the present invention.
FIG. 4 is a block diagram of a packing block uplink according to the present invention.
Detailed Description
The technical scheme of the present invention will be clearly and completely described below with reference to the accompanying drawings. The specific embodiments described herein are to be considered in an illustrative sense only and are not intended to limit the scope of the invention.
As shown in fig. 1, the method for completely uploading data in the remote sensing metadata uploading method based on the alliance chain provided by the invention comprises the following steps:
1) And carrying out identity authenticity verification on the node user submitting the application data for uploading, and returning the digital certificate.
1.1 verifying identity: and authenticating the identity information of the node user submitting the application data for uploading.
1.2 return certificate: after the user authentication is passed, a returned digital certificate is received.
2) As shown in fig. 2, remote sensing metadata to be uploaded is independently numbered MID, and encrypted by a symmetric encryption algorithm to generate a decryption key:
2.1 MID number: aiming at the characteristic of multi-source isomerism of remote sensing metadata, satellite names, sensors, resolution, acquisition time and cloud cover information are extracted from metadata self-contained XML files, and re-independent numbering MID is carried out.
Numbering rules: image resolution code, satellite name, sensor name, acquisition time and file number, wherein the image resolution code is represented by 1-bit English letters, the high resolution is H, the medium resolution is M, and the low resolution is L; the satellite names and the sensor names are not limited in length and are all fully called; the acquisition time is represented by a 6-bit digital, and YYMDD format is adopted; the file number will take a random 4-bit number.
2.3 data encryption: and encrypting the remote sensing metadata by using an asymmetric encryption algorithm, generating decryption keys, wherein the encryption keys for encrypting each piece of data to be uploaded are different, namely the decryption keys are needed for decrypting each piece of ciphertext data, and then recording the corresponding time stamp of the remote sensing Metadata (MID) and the decryption keys needed for decryption to obtain a key record table.
3) Splitting remote sensing metadata to be uploaded into a plurality of data blocks, storing the data blocks to different nodes in an IPFS network, packaging the data blocks into a set, and performing hash calculation to obtain a final data address.
3.1 splitting data: splitting into data blocks according to values, pictures and texts in the basic attributes of the remote sensing metadata through an IPFS service.
3.2 data block storage: the hash value of each data block is calculated through a hash algorithm based on the content, and the data blocks are stored in different nodes in the IPFS network in a distributed mode.
3.3 data Address: and repackaging all the data blocks into a set, and performing hash calculation again on the information of the data blocks to obtain a final data address.
4) As shown in fig. 3, when receiving an instruction for uploading data from a node user, verifying the integrity of the identity of the node user and returning an instruction for agreeing to upload, then calculating the received encrypted data, comparing the data before encryption, and verifying the integrity of the data:
4.1 verifying identity: and receiving the digital signature of the application data uploading node user, and verifying the identity legitimacy of the node user.
4.2 return instruction: and the authentication is passed, and the alliance link point returns an instruction for agreeing to upload data.
4.3 authentication data: and acquiring decrypted data through the decryption key and the identity signature, judging whether the data before and after encryption are consistent, and if so, checking the data integrity.
5) As shown in fig. 4, the digital signature, MID, decryption key, and data address are uplinked in blocks:
5.1 packing block: the block includes the address, timestamp, digital signature, MID, data address of the previous block.
5.2 data broadcast: and broadcasting the data to other node users on the alliance chain for storage by using a consensus mechanism.
The foregoing detailed description of the embodiments of the invention will be presented in terms of a detailed description, and it should be appreciated that the foregoing description of exemplary embodiments is not intended to limit the invention, but rather should be construed in view of the foregoing disclosure.
Claims (1)
1. A remote sensing metadata uplink method based on a alliance chain is characterized by comprising the following steps of: the method comprises the following steps:
1) And (3) identity authentication: verifying the identity authenticity of the node user submitting the application data for uploading, and returning a digital certificate;
2) Uploading data: the remote sensing metadata to be uploaded is independently numbered MID, and is encrypted by a symmetric encryption algorithm to generate a decryption key;
3) And (3) storing data in blocks: splitting remote sensing metadata to be uploaded into a plurality of data blocks through an IPFS service, storing the data blocks into different nodes in an IPFS network, packaging the data blocks into a set, and performing hash calculation again to obtain a final data address;
4) Verification data: calculating the received encrypted data, comparing the data before encryption, and verifying the integrity of the data;
5) Data chaining: packaging the digital signature, the MID, the decryption key and the data address into blocks for uplink;
the identity authentication process in step 1) is as follows:
2.1 Verifying the identity of the user node applying for data uploading;
2.2 After passing the identity authentication, returning the corresponding digital signature;
the uploading data process in the step 2) is as follows:
3.1 Extracting general information in the remote sensing metadata, including satellite names, sensors, resolution, acquisition time and cloud cover, and carrying out independent numbering MID again;
3.2 MID numbering rules): image resolution code, satellite name, sensor name, acquisition time and file number, wherein the image resolution code is represented by 1-bit English letters, the high resolution is H, the medium resolution is M, and the low resolution is L; the satellite names and the sensor names are not limited in length and are all fully called; the acquisition time is represented by a 6-bit digital, and YYMDD format is adopted; the file number will take a random 4-digit number;
3.3 Encrypting the remote sensing metadata by using a symmetric encryption algorithm, and generating a decryption key;
the data block storage process in the step 3) is as follows:
4.1 Splitting remote sensing metadata to be uploaded into a plurality of data blocks through an IPFS service;
4.2 Calculating a hash value of each data block by a content-based hash algorithm;
4.3 Distributed storage of data blocks to different nodes in the IPFS network;
4.4 Packaging all the data blocks into a set, and performing hash calculation again to obtain a final data address;
the process of verifying the data in the step 4) is as follows:
5.1 Receiving a digital signature of the node user for uploading the application data, and verifying the identity legitimacy of the node user;
5.2 After the authentication is passed, receiving an instruction that the target alliance node returns agreements to upload data;
5.3 After receiving the uploading instruction, obtaining decrypted remote sensing metadata by using the digital certificate and the decryption key, and judging whether the decrypted data is consistent with the original data or not;
step 5) the data uplink process is as follows:
6.1 After passing identity authentication and data verification, packaging the digital signature, the MID, the decryption key and the data address into a data block for uplink by a alliance link point;
6.2 Using a consensus mechanism, broadcasting the data block to all consensus nodes.
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