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Distributed detection method for intelligent contract conflict in industrial block chain

A smart contract and conflict detection technology, applied in the direction of equipment, platform integrity maintenance, digital data protection, etc., can solve problems that restrict the promotion and application of blockchain smart contract transactions, and achieve the effect of avoiding losses

Pending Publication Date: 2021-11-05
CHINA THREE GORGES UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing blockchain technology and smart contracts do not have an effective mechanism for conflict detection, which restricts the promotion and application of blockchain smart contract transactions

Method used

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  • Distributed detection method for intelligent contract conflict in industrial block chain

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Embodiment Construction

[0043] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0044] The industrial blockchain refers to the manufacturing industry, planting industry, animal husbandry, real estate industry, food industry, Internet industry, financial banking industry, logistics industry, transportation industry, service industry, etc. Different industries are connected together through blockchain , forming a decentralized and distributed industrial Internet architecture; further, each industry includes a large number of blockchain nodes, and different industries have the same status in the entire blockchain; further, different industries and different Nodes trade on the insecure industrial blockchain network, without the need to establish a trust mechanism, and only need to use smart contracts to ensure the normal operation of the business.

[0045]The industrial block chain node refers to computers, servers, mobile phones, handheld t...

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Abstract

The invention discloses a distributed detection method for the intelligent contract conflict in an industrial block chain. The method comprises the following steps: step 1, acquiring an intelligent contract; step 2, extracting features of the intelligent contract; step 3, carrying out intelligent contract clustering analysis; step 4, carrying out intelligent contract code analysis; step 5, generating an intelligent contract feature code; step 6, carrying out intelligent contract code conflict analysis; step 7, carrying out intelligent contract function dependency analysis; step 8, carrying out intelligent contract data dependence analysis; step 9, scanning intelligent contract symbols; and step 10, outputting an intelligent contract conflict detection result; according to the method, the potential conflict risk in the industrial block chain intelligent contract can be effectively detected, the conflict classification code is generated, the conflicting intelligent contract is stopped, and conflicts in the industrial block chain intelligent contract are reduced.

Description

technical field [0001] The invention belongs to the technical field of industrial block chains, and in particular relates to a distributed detection method for smart contract conflicts in industrial block chains. Background technique [0002] Industrial blockchain can use data encryption, decentralization, distributed consensus, time cut-off and economic incentives to realize peer-to-peer transactions, coordination and collaboration based on decentralized credit in a distributed industrial system where nodes do not need to trust each other , so as to solve the common problems of high cost, low efficiency and insecure data storage in the centralized industrial system architecture. The smart contract is the key to the automatic operation of the industrial blockchain. It is an automatically executable agreement in digital form, and is essentially a code deployed on the blockchain that can be automatically executed. The smart contract mainly encapsulates the blockchain layer th...

Claims

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Application Information

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IPC IPC(8): G06F21/57G06F21/64
CPCG06F21/577G06F21/64
Inventor 蔡政英易海斌王崟瑾张磊刘忠途
Owner CHINA THREE GORGES UNIV
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