CN111984394A - Network asset attribution discrimination formation key attribute extraction system - Google Patents
Network asset attribution discrimination formation key attribute extraction system Download PDFInfo
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- CN111984394A CN111984394A CN201910428829.4A CN201910428829A CN111984394A CN 111984394 A CN111984394 A CN 111984394A CN 201910428829 A CN201910428829 A CN 201910428829A CN 111984394 A CN111984394 A CN 111984394A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45562—Creating, deleting, cloning virtual machine instances
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Abstract
The invention belongs to the technical field of computer networks, in particular to a system for extracting a network asset attribution discrimination formation key attribute, which comprises the following steps: a blockchain node in a blockchain network; the asset container is positioned at the block chain link point and used for recording field information of an asset object registered on a block chain ledger; the asset containers form at least one asset container group, and an association relationship exists between each asset container in the asset container group and at least one other asset container in the asset container group.
Description
Technical Field
The invention belongs to the technical field of computer networks, and particularly relates to a system for extracting key attributes formed by judging network asset affiliation.
Background
Network assets are primarily the various devices used in computer (or communications) networks. Mainly comprising network devices (routing, switching, etc.) and security devices (firewalls, etc.). In 1973, Robert-Mettecavir developed a standard for information connectivity that allowed computers at different distances to communicate with each other, i.e., the Ethernet (now the world Wide Web). In order for the network owner to obtain more benefits from the network usage, the network cards must be used in a certain amount, i.e., the value of the network depends on the number of network connection servers and the number of network users. The implicit principle is as follows: the network usage cost is related to the number of network card usage; alternatively, the value of the network is proportional to the square of the number of network users. This network effect based on the number of network users used is called a network asset. The key attribute extraction formed by judging the network asset affiliation is a basic guarantee for avoiding the planning risk of a network development enterprise and protecting the research and development of the network development enterprise by encryption, however, at present, the network asset affiliation can be judged but the block chain nodes cannot be distinguished in detail and the encryption cannot be extracted, stored and stored, so that a system for extracting the key attribute formed by judging the network asset affiliation is urgently needed.
Disclosure of Invention
In order to solve the technical problem, the invention provides a system for extracting the key attribute formed by judging the attribution of network assets, which has the technical scheme as follows:
a blockchain node in a blockchain network;
the asset container is positioned at the block chain link point and used for recording field information of an asset object registered on a block chain ledger; the asset containers form at least one asset container group, and an association relationship exists between each asset container in the asset container group and at least one other asset container in the asset container group.
When there is an operation instruction for a first asset container in the asset container group, the first asset container, a second asset container associated with the first asset container in the asset container group are each added as an operation target of the operation instruction.
When there is an operation instruction for a first asset container in the asset container group, the second asset container maintains an original association relationship with the first asset container after the operation instruction is executed for the first asset container.
When there is an operation instruction for a first asset container in the asset container group, the second asset container maintains an original association relationship with the first asset container after the operation instruction is executed for the first asset container.
Creating an asset container by using a block chain link point in a block chain network, wherein the asset container is used for recording field information of an asset object registered by a block chain ledger book;
the block link points divide corresponding asset containers into at least one asset container group according to the association relationship between asset objects, and the association relationship exists between each asset container in the asset container group and at least one other asset container in the asset container group.
The block link point initiating an operating instruction for a first asset container in the set of asset containers;
wherein when the first asset container has an associated second asset container in the asset container group, the first asset container and the second asset container are each added as an operation target of the operation instruction.
The block link point initiating an operating instruction for a first asset container in the set of asset containers;
wherein the second asset container maintains an original association with the first asset container after the operating instructions are executed for the first asset container.
The block link point initiating operating instructions for a first asset container in the set of asset containers, comprising:
The blockchain node initiates a contract operation for the first asset container.
When the second asset container is the associated asset container of the first asset container in the asset container group, the indication information of the second asset container is recorded in the first asset container.
The indication information includes an address of the second asset container.
Drawings
FIG. 1 is a schematic diagram of extracting key attributes formed by the network asset attribution discrimination of the present invention.
FIG. 2 is a schematic diagram of the method for extracting the key attribute formed by the network asset attribution discrimination.
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.
Fig. 1 is a flowchart of a method for extracting a discriminative formation key attribute according to an exemplary embodiment. As shown in fig. 1, the method may include the steps of: a blockchain link point in a blockchain network creates an asset container for recording field information for asset objects registered by a blockchain ledger.
In one embodiment, the blockchain ledger is used to record all information generated on the blockchain network. Specifically, the blockchain adopts a distributed network asset form, each blockchain link point respectively stores the full amount of network asset information, and all blockchain nodes can reach the agreement among the network asset information through a consensus algorithm, so that all blockchain link points can be regarded as maintaining a unified book, namely, a blockchain book.
In one embodiment, the blockchain network may support multiple types of objects, such as account objects, contract objects, and the like; the account object is used for realizing account management and related operations, and the contract object is used for realizing contract management and related operations. Further, the blockchain network of the present specification may support multiple types of assets, and thus the blockchain network of the present specification may support asset objects to facilitate maintenance management of the corresponding types of assets through the asset objects.
In an embodiment, the asset object may comprise a smart asset object; the smart asset object is created for smart assets corresponding to any type of assets such as funds, real estate, stocks, loan contracts, notes, accounts receivable, etc. of a user in a real world or offline scene, and is made available for processing in a blockchain, such as by way of a smart contract in a blockchain.
In one embodiment, by creating an asset container at a block link point, field information for an asset object may be recorded in the asset container, thereby maintaining a corresponding asset object based on the asset container. For example, the asset container may include a data table or the like of a preset structure, which is not limited by the present specification.
In one embodiment, a block link point may create an asset object that conforms to a specified type by invoking an asset creation contract operation defined in a contract object based on the contract object corresponding to the specified type of asset. In other embodiments, the block link point may also create the contract object by other means, which is not limited by the present specification.
As shown in fig. 2, the invention further provides a method for extracting network asset attribution discrimination formation key attributes, wherein a block chain link point in a block chain network creates an asset container for recording field information of an asset object registered in a block chain ledger;
and the block link points divide the corresponding asset containers into at least one asset container group according to the association relationship among the asset objects, and the association relationship exists between each asset container in the asset container group and at least one other asset container in the asset container group.
The block chain node initiates an operation instruction aiming at a first asset container in the asset container group;
wherein when a first asset container has an associated second asset container in the set of asset containers, the first asset container and the second asset container are each added as an operation target of the operation instruction.
The block chain node initiates an operation instruction aiming at a first asset container in the asset container group;
and after the operation instruction is executed for the first asset container, the second asset container and the first asset container maintain the original association relationship.
A blockchain node initiates an operation instruction for a first asset container in a group of asset containers, the blockchain node initiating a contract operation for the first asset container.
When the second asset container is the associated asset container of the first asset container in the asset container group, the indication information of the second asset container is recorded in the first asset container.
The indication information includes an address of the second asset container.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (10)
1. A system for extracting key attributes formed by network asset attribution discrimination is characterized by comprising the following steps:
a blockchain node in a blockchain network;
the asset container is positioned at the block chain link point and used for recording field information of an asset object registered on a block chain ledger; the asset containers form at least one asset container group, and an association relationship exists between each asset container in the asset container group and at least one other asset container in the asset container group.
2. The discriminative formation key attribute extraction system of claim 1, wherein when there is an operation instruction for a first asset container in the asset container group, the first asset container, a second asset container with which the first asset container is associated in the asset container group are each added as an operation target of the operation instruction.
3. The discriminative formation key attribute extraction of claim 1, wherein when there is an operation instruction for a first asset container in the asset container group, the second asset container maintains an original association relationship with the first asset container after the operation instruction is executed for the first asset container.
4. The system of claim 1, wherein when there is an operation instruction for a first asset container of the set of asset containers, the second asset container maintains an original association relationship with the first asset container after the operation instruction is executed for the first asset container.
5. A method for extracting key attributes formed by network asset attribution discrimination is characterized by comprising the following steps:
creating an asset container by using a block chain link point in a block chain network, wherein the asset container is used for recording field information of an asset object registered by a block chain ledger book;
the block link points divide corresponding asset containers into at least one asset container group according to the association relationship between asset objects, and the association relationship exists between each asset container in the asset container group and at least one other asset container in the asset container group.
6. The method of claim 5, further comprising:
the block link point initiating an operating instruction for a first asset container in the set of asset containers;
wherein when the first asset container has an associated second asset container in the asset container group, the first asset container and the second asset container are each added as an operation target of the operation instruction.
7. The method of claim 5, further comprising:
the block link point initiating an operating instruction for a first asset container in the set of asset containers;
wherein the second asset container maintains an original association with the first asset container after the operating instructions are executed for the first asset container.
8. The method of claim 6 or 7, wherein the blockchain node initiates an operating instruction for a first asset container in the group of asset containers, comprising:
the blockchain node initiates a contract operation for the first asset container.
9. The method of claim 5, wherein when a second asset container is an associated asset container of a first asset container in the set of asset containers, the first asset container has recorded therein indication information of the second asset container.
10. The method of claim 9, wherein the indication information comprises an address of the second asset container.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910428829.4A CN111984394A (en) | 2019-05-22 | 2019-05-22 | Network asset attribution discrimination formation key attribute extraction system |
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| CN201910428829.4A CN111984394A (en) | 2019-05-22 | 2019-05-22 | Network asset attribution discrimination formation key attribute extraction system |
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| CN111984394A true CN111984394A (en) | 2020-11-24 |
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Citations (5)
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|---|---|---|---|---|
| CN108389118A (en) * | 2018-02-14 | 2018-08-10 | 阿里巴巴集团控股有限公司 | The asset management system, method and device, electronic equipment |
| CN108694589A (en) * | 2018-05-08 | 2018-10-23 | 杭州佑他科技有限公司 | A kind of asset monitoring method based on block chain |
| CN108876616A (en) * | 2018-06-13 | 2018-11-23 | 众安信息技术服务有限公司 | Exchange information processing method, device and assets based on block chain register settlement system |
| CN109432784A (en) * | 2018-11-07 | 2019-03-08 | 四川长虹电器股份有限公司 | A kind of account transaction processing method and device based on block chain |
| WO2019072285A2 (en) * | 2018-11-30 | 2019-04-18 | Alibaba Group Holding Limited | Platform for atomic transfer of smart assets within blockchain networks |
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- 2019-05-22 CN CN201910428829.4A patent/CN111984394A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108389118A (en) * | 2018-02-14 | 2018-08-10 | 阿里巴巴集团控股有限公司 | The asset management system, method and device, electronic equipment |
| CN108694589A (en) * | 2018-05-08 | 2018-10-23 | 杭州佑他科技有限公司 | A kind of asset monitoring method based on block chain |
| CN108876616A (en) * | 2018-06-13 | 2018-11-23 | 众安信息技术服务有限公司 | Exchange information processing method, device and assets based on block chain register settlement system |
| CN109432784A (en) * | 2018-11-07 | 2019-03-08 | 四川长虹电器股份有限公司 | A kind of account transaction processing method and device based on block chain |
| WO2019072285A2 (en) * | 2018-11-30 | 2019-04-18 | Alibaba Group Holding Limited | Platform for atomic transfer of smart assets within blockchain networks |
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