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Journal of Soft Computing Paradigm

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Home / Archives / Volume-4 / Issue-2 / Article-5

Volume - 4 | Issue - 2 | june 2022

Future Direction of AI in Block-chain for security systems – A Comprehensive Report
Haoxiang Wang 
Pages: 101-112
Cite this article
Wang, H. (2022). Future Direction of AI in Block-chain for security systems – A Comprehensive Report. Journal of Soft Computing Paradigm, 4(2), 101-112. doi:10.36548/jscp.2022.2.005
Published
25 July, 2022
Abstract

Currently, blockchain is a game-changing technology that's revolutionizing the way applications are built because it eliminates the requirement for trust between network peers. Global and immutable repositories created by blockchain technology provide non-repudiation and accountability of the stored data. Because of this, processing and maintaining enormous volumes of data with ever-decreasing latencies are becoming more difficult. Therefore, artificial intelligence and machine learning approaches have made substantial advancements, paving the way for next-generation network infrastructure. The decentralization and tamper-proof nature of blockchain technology make it ideal for data exchange and privacy protection. This study paradigm may improve computer network reliability while also allowing new distributed and knowledge-driven security services and applications. Numerous issues are addressed in this work, including new cryptographic models for healthcare applications, intelligent threat-detection systems and novel approaches to consensus building in blockchains.

Keywords

Blockchain natural language processing security system artificial intelligence

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