CN111368003B - Management method of multi-chain anchoring data - Google Patents
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Abstract
The invention relates to the field of data processing and information security, in particular to a management method of multi-chain anchoring data. Which comprises the following steps: step S1, anchoring of data; step S2, auditing of the data. The invention can better realize the cross-chain management of the anchoring data on the chain.
Description
Technical Field
The invention relates to the field of data processing and information security, in particular to a management method of multi-chain anchoring data.
Background
Currently, blockchain technology is considered suitable for many areas, such as finance, medical care, identity management, asset registration, government agencies, the internet of things, and the like. Anchoring data in the blockchain makes the data verifiable and independently auditable as one of the potential applications of the blockchain.
The block chains are various in types, and users can use the block chains of different types to anchor data, so that the user data can be dispersedly anchored to the different block chains; thus, two challenges are faced, first, a single blockchain provides an ordered, tamper-resistant state transition event log, but anchoring on different blockchains achieves an unordered result that depends on the time stamp of the anchor chain; a second challenge is that the blockchain may be corrupted or forked resulting in loss of the user's anchor data.
Disclosure of Invention
The present invention provides a method of managing multi-chain anchor data that overcomes some or all of the deficiencies of the prior art.
The management method of the multi-chain anchoring data comprises the following steps:
step S1, anchoring of data;
step S2, auditing of the data.
Preferably, step S1 specifically includes the following steps:
step S11, using the data to be anchored and its item as a piece of data, and storing them in the local server;
and step S12, marking each piece of data, marking the same piece of data to be anchored in the same batch, and performing Merkle Tree operation on all pieces of data with the same mark when the number of the pieces of data with the same mark in the local server reaches a set threshold value so as to generate Merkle Root.
Step S13, generating unique ID to identify the current anchoring content;
step S14, finding the ID of the last anchor content and recording as PrevID, which is used to connect to the last anchor result;
step S15, selecting a block chain for anchoring, where the anchoring content includes Merkle Root, ID, PrevID, and list (prevchain); where list (prevchain) is initialized to null, when the block chain selected this time by the user is different from the last time, list (prevchain) is filled with a snapshot of the last anchor result (anchored successively on the same chain).
Step S16, obtain the target blockchain transaction number Txid, and store the Merkle Root, ID, PrevID, List (prevChain), target blockchain type TargetChain, and target blockchain transaction number Txid in the local server, and the anchoring is completed.
Preferably, the corresponding entry is generated by performing a Hash calculation on the data to be anchored.
Preferably, in step S12, marking each data by marking one flag for each data while performing Hash calculation on the data to be anchored in step S11, where the flags marked for the same batch of data to be anchored have the same value; the flag marked by each piece of data is stored in the local server, and the number of the same data in the same batch is calculated by calculating the number of the same flag entries in the local server. Therefore, the management of the same batch of data can be preferably realized.
Preferably, in step S12, the threshold is 1024.
Preferably, step S2 specifically includes the following steps:
step S21, the data content to be audited is called from the local server;
step S22, obtaining the same batch data with the same mark (i.e. the same flag) as the content to be audited from the local server, carrying out Hash calculation to generate local data items, and carrying out Merkle Tree operation to generate Merkle Root;
step S23, acquiring anchoring information associated with the content to be evaluated from the local server, and finding the anchoring content according to the anchored target block chain type TargetChain and the target block chain transaction number Txid;
step S24, verifying whether the Merkle Root generated in the step S22 is consistent with the Merkle Root anchored in the block chain or not, if so, auditing the result to be real, and if not, entering the next step;
step S25, trace back the data across chains through the snapshots in the list (prevchain).
The scheme in the invention is that:
1. the method can pack batch data to generate Merkle Root and anchor the Merkle Root in the block chain, and the block chain needs to be used for payment, so that the method saves the user cost, and meanwhile, the privacy of the user is well protected because the anchoring content is not real data.
2. By adding the ID of the current anchor content and the PrevID of the last anchor content in the anchor data, the user data can be connected in series on different block chains through the IDs, so that the data are ordered, the generation sequence of the data can be distinguished conveniently, and a virtual chain is formed logically.
3. By adding List (prevChain) in the anchor data, the data continuously anchored on the same block chain can be formed into a snapshot and recorded on another block chain, the audit of the data can be completed by using the block content and the snapshot, and the security of the data is enhanced through the security of a plurality of chains.
Drawings
Fig. 1 is a schematic flowchart of user data anchoring in embodiment 1;
FIG. 2 is a schematic view of a multi-stranded anchor structure in example 1;
fig. 3 is a schematic flow chart of user data auditing in embodiment 1.
Detailed Description
For a further understanding of the invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples. It is to be understood that the examples are illustrative of the invention and not limiting.
Example 1
The embodiment provides a management method of multi-chain anchor data, which comprises the following steps:
step S1, anchoring of data;
step S2, auditing of the data.
Through the method in the embodiment, the management of cross-chain anchoring data can be preferably realized.
As shown in fig. 1, step S1 specifically includes the following steps:
step S11, using the data to be anchored and its item as a piece of data, and storing them in the local server;
and step S12, marking each piece of data, marking the same piece of data to be anchored in the same batch, and performing Merkle Tree operation on all pieces of data with the same mark when the number of the pieces of data with the same mark in the local server reaches a set threshold value so as to generate Merkle Root.
Step S13, generating unique ID to identify the current anchoring content;
step S14, finding the ID of the last anchor content and recording as PrevID, which is used to connect to the last anchor result;
step S15, with reference to fig. 2, selecting a block chain for anchoring, where the anchoring content includes Merkle Root, ID, PrevID, and list (prevchain); where list (prevchain) is initialized to null, when the block chain selected this time by the user is different from the last time, list (prevchain) is filled with a snapshot of the last anchor result (user anchors on the same chain multiple times in succession).
Step S16, obtain the target blockchain transaction number Txid, and store the Merkle Root, ID, PrevID, List (prevChain), target blockchain type TargetChain, and target blockchain transaction number Txid in the local server, and the anchoring is completed.
In the embodiment, batch data can be packaged to generate the Merkle Root and anchored in the block chain, the block chain needs to be used for paying, so that the user cost is saved, and meanwhile, the privacy of the user is well protected due to the fact that the anchored content is not real data.
In this embodiment, by adding the ID of the current anchor content and the PrevID of the previous anchor content to the anchor data, the user data can be connected in series on different blockchains through the IDs, so that the data is ordered, which is beneficial to distinguishing the generation sequence of the data, and logically forms a virtual chain.
In this embodiment, by adding a list (prevchain) to the anchor data, the data that is continuously anchored on the same block chain can be snapshot-formed and recorded on another block chain, and the data can be audited by using the block content and the snapshot, so that the security of the data is enhanced by the security of multiple chains.
In step S11, a corresponding entry is generated by performing a Hash calculation on the data to be anchored.
In step S12, marking each data by marking one flag for each data while performing Hash calculation on the data to be anchored in step S11, where the flags marked for the same batch of data to be anchored have the same value; the flag marked by each piece of data is stored in the local server, and the number of the same data in the same batch is calculated by calculating the number of the same flag entries in the local server. Therefore, the management of the same batch of data can be preferably realized.
In step S12, the threshold is set to 1024. The data can be anchored better.
As shown in fig. 3, step S2 specifically includes the following steps:
step S21, the data content to be audited is called from the local server;
step S22, obtaining the same batch data with the same mark (i.e. the same flag) as the content to be audited from the local server, carrying out Hash calculation to generate local data items, and carrying out Merkle Tree operation to generate Merkle Root;
step S23, acquiring anchoring information associated with the content to be evaluated from the local server, and finding the anchoring content according to the anchored target block chain type TargetChain and the target block chain transaction number Txid;
step S24, verifying whether the Merkle Root generated in the step S22 is consistent with the Merkle Root anchored in the block chain or not, if so, auditing the result to be real, otherwise, entering the next step;
in step S25, if the data in the chain is lost due to block chain bifurcation or the like, the data is traced back across chains by using the snapshot in the list (prevchain).
In this embodiment, when data on a chain is lost due to reasons such as block chain bifurcation, cross-chain tracing can be performed through a list (prevchain) snapshot, so that user data in different block chains can be connected in order, the problem that data cannot be audited due to block chain faults is effectively prevented, and the security of the data on the chain can be enhanced better.
The present invention and its embodiments have been described above schematically, without limitation, and what is shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. Therefore, if the person skilled in the art receives the teaching, without departing from the spirit of the invention, the person skilled in the art shall not inventively design the similar structural modes and embodiments to the technical solution, but shall fall within the scope of the invention.
Claims (5)
1. A method of managing multi-chain anchor data, comprising the steps of:
step S1, anchoring of data;
step S2, auditing data;
in step S1, the method specifically includes the following steps:
step S11, using the data to be anchored and its item as a piece of data, and storing them in the local server;
step S12, marking each piece of data, marking the same piece of data to be anchored in the same batch, and performing Merkle Tree operation on all the data with the same mark when the number of the data with the same mark in the local server reaches a set threshold value so as to generate Merkle Root;
step S13, generating unique ID to identify the current anchoring content;
step S14, finding the ID of the last anchor content and recording as PrevID, which is used to connect to the last anchor result;
step S15, selecting a block chain for anchoring, where the anchoring content includes Merkle Root, ID, PrevID, and list (prevchain); the list (prevchain) is initialized to be empty, and when the block chain selected by the user at this time is different from the last time, the list (prevchain) is filled into a snapshot of the last segment of the anchoring result;
step S16, obtain the target blockchain transaction number Txid, and store the Merkle Root, ID, PrevID, List (prevChain), target blockchain type TargetChain, and target blockchain transaction number Txid in the local server, and the anchoring is completed.
2. A method for managing multi-chain anchor data according to claim 1, characterized in that: and generating a corresponding entry by performing Hash calculation on the data to be anchored.
3. A method for managing multi-chain anchor data according to claim 1, characterized in that: in step S12, marking each data by marking one flag for each data while performing Hash calculation on the data to be anchored in step S11, where the flags marked for the same batch of data to be anchored have the same value; the flag marked by each piece of data is stored in the local server, and the number of the same data in the same batch is calculated by calculating the number of the same flag entries in the local server.
4. A method for managing multi-chain anchor data according to claim 1, characterized in that: in step S12, the threshold is set to 1024.
5. A method for managing multi-chain anchor data according to claim 1, characterized in that: in step S2, the method specifically includes the following steps:
step S21, the data content to be audited is called from the local server;
step S22, obtaining the same batch of data with the same mark as the content to be checked from the local server, carrying out Hash calculation to generate local data items, and carrying out Merkle Tree operation to generate Merkle Root;
step S23, acquiring anchoring information associated with the content to be evaluated from the local server, and finding the anchoring content according to the anchored target block chain type TargetChain and the target block chain transaction number Txid;
step S24, verifying whether the Merkle Root generated in the step S22 is consistent with the Merkle Root anchored in the block chain or not, if so, auditing the result to be real, and if not, entering the next step;
step S25, trace back the data across chains through the snapshots in the list (prevchain).
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Effective date of registration: 20210825 Address after: 230000 Room 501, block B, Anhui Institute of industrial technology innovation, No. 2221, Changjiang West Road, high tech Zone, Hefei, Anhui Patentee after: Anhui Zhongke lattice Technology Co.,Ltd. Address before: 231283 floor 38, land innovation center, high tech Zone, Hefei, Anhui Province Patentee before: ANHUI ZHONGKEZHILIAN INFORMATION TECHNOLOGY Co.,Ltd. |