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Network Blockchain Security Sharing Model Based on Fuzzy Logic.

Ming Li¹, Peng Xiao²

¹School of Computer and Information Technology, Mudanjiang Normal University, Heilongjiang, China.

Computational Intelligence and Neuroscience

|May 10, 2022

Summary

This summary is machine-generated.

This study introduces a fuzzy logic-based model for secure blockchain sharing, enhancing privacy and transaction security in multiparty networks. The proposed method effectively prevents tampering and ensures confidentiality for robust network blockchain security.

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Area of Science:

Computer Science
Information Security
Artificial Intelligence

Background:

The proliferation of internet technology has introduced complex network security challenges, particularly for blockchain systems.
Multiparty network blockchains, while efficient, present unique privacy and security vulnerabilities.
Existing security models struggle to address the dynamic threats in decentralized network environments.

Purpose of the Study:

To explore network security hazards inherent in blockchain technology.
To establish a novel network blockchain security sharing model utilizing fuzzy logic.
To enhance privacy protection and ensure transaction confidentiality in multiparty blockchain networks.

Main Methods:

Investigated the various forms of network security hazards specific to blockchain.
Developed a fuzzy logic-based algorithm for security sharing and privacy preservation.
Implemented a model to prevent tampering and ensure the confidentiality of transaction data.

Main Results:

The proposed fuzzy logic model effectively prevents tampering of network blockchains.
Confidentiality of transaction information is significantly enhanced.
Experimental results demonstrate high practicality and successful achievement of design objectives for secure blockchain sharing.

Conclusions:

The fuzzy logic-based network blockchain security sharing model offers a practical solution to contemporary security challenges.
This approach successfully balances security, privacy, and efficiency in multiparty blockchain environments.
The model provides a robust framework for securing decentralized network transactions.