CN111654380B - Self-organizing consensus method and system based on scene node selection mechanism - Google Patents
Self-organizing consensus method and system based on scene node selection mechanism Download PDFInfo
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- CN111654380B CN111654380B CN202010566103.XA CN202010566103A CN111654380B CN 111654380 B CN111654380 B CN 111654380B CN 202010566103 A CN202010566103 A CN 202010566103A CN 111654380 B CN111654380 B CN 111654380B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3247—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
Abstract
The invention discloses a self-organizing consensus method and a self-organizing consensus system based on a scene node selection mechanism. The method comprises the steps of obtaining a transaction scene; establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged among the transaction self-organization nodes; acquiring business information of a transaction scene; and carrying out consensus among the transaction self-organization nodes according to the service information. By adopting the method and the system, the nodes participating in the consensus can synchronously trade the data, and the nodes not participating in the consensus can not synchronously trade the data, so that the problems of node data redundancy and service privacy disclosure can be effectively avoided.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a self-organizing consensus method and a self-organizing consensus system based on a scene node selection mechanism.
Background
The traditional block chain distributed system is a consensus that all nodes in the system participate in services, the consensus means that each node in the distributed system stores data backup of the whole system, when new data is added to the system, each node needs to approve the legality of the data, and the approval process is the consensus. However, whether or not the nodes are traffic related, the data of the distributed system is synchronized in a well-known manner. If a service in a scenario only includes a portion of service nodes participating, the conventional distributed system may also deliver data generated by the scenario service to nodes not participating in the service. If the common identification nodes which do not participate in the service obtain data irrelevant to the nodes, redundant data are brought to the nodes, system resources of the nodes are wasted, and the problem of service privacy disclosure in a scene is brought.
Disclosure of Invention
The invention aims to provide a self-organizing consensus method and a self-organizing consensus system based on a scene node selection mechanism, wherein the nodes participating in consensus can synchronously trade data, the nodes not participating in consensus can not synchronously trade data, and the problems of node data redundancy and service privacy disclosure can be effectively avoided.
In order to achieve the purpose, the invention provides the following scheme:
a self-organizing consensus method based on a scene node selection mechanism comprises the following steps:
acquiring a transaction scene;
establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged among the transaction self-organization nodes;
acquiring business information of a transaction scene;
and performing consensus among the transaction self-organization nodes according to the service information.
Optionally, after the performing consensus between the transaction self-organizing nodes according to the service information, the method further includes:
acquiring data to be traded;
determining the service information of the data to be transacted according to the data to be transacted;
and carrying out transaction between the transaction self-organization nodes according to the data to be transacted and the service information of the data to be transacted.
Optionally, the establishing a consensus network corresponding to the transaction scenario according to the transaction scenario specifically includes:
inputting the transaction scene into a consensus data generating function of a consensus algorithm to obtain first to-be-consensus data; the consensus algorithm is a consensus algorithm preset by the consensus network;
inputting the first data to be identified into a data verification function of the consensus algorithm for verification; and if the verification is passed, establishing the consensus network corresponding to the transaction scene successfully.
Optionally, the performing consensus among the transaction self-organizing nodes according to the service information specifically includes:
inputting the service information into a consensus data generating function of the consensus algorithm to obtain second data to be identified;
inputting the second data to be identified into a data verification function of the consensus algorithm for verification; if the verification is passed, consensus is reached.
Optionally, the performing transaction between the transaction self-organizing nodes according to the data to be transacted and the service information of the data to be transacted specifically includes:
and performing signature verification according to the data to be transacted and the service information of the data to be transacted, wherein if the data to be transacted and the service information of the data to be transacted pass the verification, the transaction is successful.
The invention also provides a self-organizing consensus system based on the scene node selection mechanism, which comprises the following steps:
the transaction scene acquisition module is used for acquiring a transaction scene;
the consensus network establishing module is used for establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged among the transaction self-organization nodes;
the business information acquisition module is used for acquiring business information of a transaction scene;
and the consensus module is used for performing consensus among the transaction self-organization nodes according to the service information.
Optionally, the method further includes:
the data to be transacted acquisition module is used for acquiring data to be transacted;
the business information determining module is used for determining the business information of the data to be traded according to the data to be traded;
and the transaction module is used for performing transaction between the transaction self-organization nodes according to the data to be transacted and the service information of the data to be transacted.
Optionally, the consensus network establishing module specifically includes:
the first to-be-consensus data generating unit is used for inputting the transaction scene into a consensus data generating function of a consensus algorithm to obtain first to-be-consensus data; the consensus algorithm is a consensus algorithm preset by the consensus network;
the consensus network establishing unit is used for inputting the first data to be identified into a data verification function of the consensus algorithm for verification; and if the verification is passed, establishing the consensus network corresponding to the transaction scene successfully.
Optionally, the consensus module specifically includes:
the second to-be-consensus data generating unit is used for inputting the service information into a consensus data generating function of the consensus algorithm to obtain second to-be-consensus data;
the consensus unit is used for inputting the second data to be consensus into a data verification function of the consensus algorithm for verification; if the verification is passed, consensus is reached.
Optionally, the transaction module specifically includes:
and the transaction unit is used for carrying out signature verification according to the data to be transacted and the service information of the data to be transacted, and if the data to be transacted passes the verification, the transaction is successful.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a self-organizing consensus method and a self-organizing consensus system based on a scene node selection mechanism, which are used for acquiring a transaction scene; establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged among the transaction self-organization nodes; acquiring business information of a transaction scene; and carrying out consensus among the transaction self-organization nodes according to the service information. The nodes participating in consensus can synchronously trade data, and the nodes not participating in consensus can not synchronously trade data, so that the problems of node data redundancy and service privacy disclosure can be effectively solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a self-organizing consensus method based on a scene node selection mechanism according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a scenario configuration transaction in an embodiment of the present invention;
FIG. 3 is a diagram illustrating a consensus network in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating scenario service transactions being commonly recognized in a designated node according to scenario configuration in an embodiment of the present invention;
FIG. 5 is a diagram illustrating an account book owned by a node according to an embodiment of the present invention;
fig. 6 is a structural diagram of an ad hoc consensus system based on a scene node selection mechanism in an embodiment 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a self-organizing consensus method and a self-organizing consensus system based on a scene node selection mechanism, wherein the nodes participating in consensus can synchronously trade data, the nodes not participating in consensus can not synchronously trade data, and the problems of node data redundancy and service privacy disclosure can be effectively avoided.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Examples
Fig. 1 is a flowchart of a self-organizing consensus method based on a scene node selection mechanism in an embodiment of the present invention. As shown in fig. 1, a self-organizing consensus method based on a scene node selection mechanism includes:
step 101: and acquiring a transaction scene.
Scene configuration transaction diagram as shown in fig. 2, a scene configuration transaction includes a scene and each blockchain node corresponding to the scene, for example, the M scene includes a node A, B, F, and the N scene includes a node B, D, E, F. The scenario configuration transaction configures the relationship of scenario and node, for example, if scenario M represents a scenario of bank transfer, then node a and node B may be understood as user a and user B mobile applications, and node F may be selected as a bank.
Step 102: establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged between the transaction self-organization nodes.
inputting a transaction scene into a consensus data generating function of a consensus algorithm to obtain first to-be-consensus data; the consensus algorithm is a consensus algorithm preset by a consensus network; inputting the first data to be identified into a data verification function of an identifying algorithm for verification; and if the verification is passed, establishing the consensus network corresponding to the transaction scene successfully.
As shown in fig. 3, after receiving the configuration transaction of the scenario M, the node a establishes a connection with the designated node according to the node information formulated in the configuration transaction, and synchronizes the consensus configuration information of the scenario M with the designated node. In this way, the consensus nodes specified in the transaction are organized into a consensus network associated with scenario M, as indicated by the dashed lines in FIG. 3.
Step 103: and acquiring the service information of the transaction scene.
Step 104: and carrying out consensus among the transaction self-organization nodes according to the service information.
inputting the service information into a consensus data generating function of a consensus algorithm to obtain second data to be identified; inputting the second data to be identified into a data verification function of an identification algorithm for verification; if the verification is passed, consensus is reached.
A consensus diagram of scenario service transactions in a designated node according to scenario configuration is shown in fig. 4, and the scenario transaction mainly includes a transaction belonging scenario, a transaction body, and a transaction initiator signature. The scene of the transaction place indicates the scene of the transaction place, the nodes inquire the nodes corresponding to the scene according to the scene configuration information, and the transaction is identified in the nodes; the transaction body comprises transaction detail data; the transaction initiator signature identifies the subjectivity of the transaction initiator initiating the transaction.
For example: when the node a receives the scenario M transaction 1, since the scenario M is defined in the configuration information of the scenario M and is commonly recognized by the node a, the node B, and the node F, the scenario transaction M is commonly recognized by the node a, the node B, and the node F, such as a common recognition system connected by a dotted line in fig. 4.
For another example: the node F receives the scenario M transaction 2, and because there are 2 scenario configurations (scenario M and scenario N) in the node F, the scenario M is selected as a consensus scenario of the transaction according to the transaction scenario information in the scenario M transaction 2, and consensus is performed in a consensus system configured by the scenario M, as shown in a consensus system connected by dotted lines in fig. 4.
For another example: when the node D receives the transaction 1 of the scene N, since the scene N is defined in the configuration information of the scene N to be commonly recognized by the node B, the node D, the node E, and the node F, the scene transaction N is commonly recognized by the node B, the node D, the node E, and the node F, as in the common recognition system connected by the solid lines in fig. 4.
Step 105: and acquiring data to be traded.
Step 106: and determining the service information of the data to be traded according to the data to be traded.
Step 107: and carrying out transaction between the transaction self-organization nodes according to the data to be transacted and the service information of the data to be transacted.
and performing signature verification according to the data to be transacted and the service information of the data to be transacted, wherein if the data to be transacted and the service information of the data to be transacted pass the verification, the transaction is successful.
As shown in fig. 5, the schematic diagram of the account book owned by the node only owns the account book participating in the scene for the node a, the node D, and the node E participating in only one scene consensus. And for the node C which does not participate in any scene consensus, no account book exists. For the node B and the node F participating in the two scene consensus at the same time, the account books of the scene M and the scene N are owned at the same time.
Fig. 6 is a structural diagram of an ad hoc consensus system based on a scene node selection mechanism according to an embodiment of the present invention. As shown in fig. 6, an ad hoc consensus system based on a scene node selection mechanism includes:
a transaction scenario acquiring module 201, configured to acquire a transaction scenario.
The consensus network establishing module 202 is used for establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged between the transaction self-organization nodes.
The consensus network establishing module 202 specifically includes:
the first to-be-consensus data generating unit is used for inputting the transaction scene into a consensus data generating function of the consensus algorithm to obtain first to-be-consensus data; the consensus algorithm is a consensus algorithm preset by a consensus network;
the consensus network establishing unit is used for inputting the first data to be identified into a data verification function of the consensus algorithm for verification; and if the verification is passed, establishing the consensus network corresponding to the transaction scene successfully.
And the service information acquiring module 203 is used for acquiring the service information of the transaction scene.
And the consensus module 204 is used for performing consensus among the transaction self-organization nodes according to the service information.
The consensus module 204 specifically includes:
the second to-be-consensus data generating unit is used for inputting the service information into a consensus data generating function of the consensus algorithm to obtain second to-be-consensus data;
the consensus unit is used for inputting the second data to be consensus into a data verification function of the consensus algorithm for verification; if the verification is passed, consensus is reached.
A data to be traded obtaining module 205, configured to obtain data to be traded.
And the service information determining module 206 is configured to determine service information of the data to be traded according to the data to be traded.
And the transaction module 207 is used for performing transaction between the transaction self-organization nodes according to the data to be transacted and the service information of the data to be transacted.
The transaction module 207 specifically includes:
and the transaction unit is used for carrying out signature verification according to the data to be transacted and the service information of the data to be transacted, and if the data to be transacted passes the verification, the transaction is successful.
The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In summary, this summary should not be construed to limit the present invention.
Claims (8)
1. A self-organizing consensus method based on a scene node selection mechanism is characterized by comprising the following steps:
acquiring a transaction scene;
establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged among the transaction self-organization nodes;
acquiring business information of a transaction scene;
performing consensus among the transaction self-organization nodes according to the service information;
wherein the content of the first and second substances,
the establishing of the consensus network corresponding to the transaction scenario according to the transaction scenario specifically includes:
inputting the transaction scene into a consensus data generating function of a consensus algorithm to obtain first to-be-consensus data; the consensus algorithm is a consensus algorithm preset by the consensus network;
inputting the first data to be identified into a data verification function of the consensus algorithm for verification; and if the verification is passed, establishing the consensus network corresponding to the transaction scene successfully.
2. The self-organizing consensus method based on scenario node selection mechanism as claimed in claim 1, wherein after said performing consensus among said transacting self-organizing nodes according to said traffic information, further comprising:
acquiring data to be traded;
determining the service information of the data to be transacted according to the data to be transacted;
and carrying out transaction between the transaction self-organization nodes according to the data to be transacted and the service information of the data to be transacted.
3. The self-organizing consensus method based on the scenario node selection mechanism according to claim 2, wherein the consensus among the trading self-organizing nodes according to the service information specifically comprises:
inputting the service information into a consensus data generating function of the consensus algorithm to obtain second data to be identified;
inputting the second data to be identified into a data verification function of the consensus algorithm for verification; if the verification is passed, consensus is reached.
4. The self-organizing consensus method based on the scene node selection mechanism according to claim 3, wherein the trading between the trading self-organizing nodes according to the data to be traded and the service information of the data to be traded specifically comprises:
and performing signature verification according to the data to be transacted and the service information of the data to be transacted, wherein if the data to be transacted and the service information of the data to be transacted pass the verification, the transaction is successful.
5. An ad hoc consensus system based on a scene node selection mechanism, comprising:
the transaction scene acquisition module is used for acquiring a transaction scene;
the consensus network establishing module is used for establishing a consensus network corresponding to the transaction scene according to the transaction scene; the consensus network comprises a plurality of transaction self-organization nodes, and at least one same transaction scene is arranged among the transaction self-organization nodes;
the business information acquisition module is used for acquiring business information of a transaction scene;
a consensus module for performing consensus among the transaction self-organization nodes according to the service information
Wherein the content of the first and second substances,
the consensus network establishing module specifically comprises:
the first to-be-consensus data generating unit is used for inputting the transaction scene into a consensus data generating function of a consensus algorithm to obtain first to-be-consensus data; the consensus algorithm is a consensus algorithm preset by the consensus network;
the consensus network establishing unit is used for inputting the first data to be identified into a data verification function of the consensus algorithm for verification; and if the verification is passed, establishing the consensus network corresponding to the transaction scene successfully.
6. The self-organizing consensus system based on scenario node selection mechanism as claimed in claim 5, further comprising:
the data to be transacted acquisition module is used for acquiring data to be transacted;
the business information determining module is used for determining the business information of the data to be traded according to the data to be traded;
and the transaction module is used for performing transaction between the transaction self-organization nodes according to the data to be transacted and the service information of the data to be transacted.
7. The self-organizing consensus system based on the scene node selection mechanism as claimed in claim 6, wherein said consensus module specifically comprises:
the second to-be-consensus data generating unit is used for inputting the service information into a consensus data generating function of the consensus algorithm to obtain second to-be-consensus data;
the consensus unit is used for inputting the second data to be consensus into a data verification function of the consensus algorithm for verification; if the verification is passed, consensus is reached.
8. The ad-hoc consensus system based on the scenario node selection mechanism as claimed in claim 7, wherein the transaction module specifically comprises:
and the transaction unit is used for carrying out signature verification according to the data to be transacted and the service information of the data to be transacted, and if the data to be transacted passes the verification, the transaction is successful.
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