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An Optimized Method for Information System Transactions Based on Blockchain

Jazem Mutared Alanazi, Ahmad Ali AlZubi*

Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia

* Corresponding Author: Ahmad Ali AlZubi. Email: email

Intelligent Automation & Soft Computing 2023, 35(2), 2289-2308. https://doi.org/10.32604/iasc.2023.029181

Abstract

Accounting Information System (AIS), which is the foundation of any enterprise resource planning (ERP) system, is often built as centralized system. The technologies that allow the Internet-of-Value, which is built on five aspects that are network, algorithms, distributed ledger, transfers, and assets, are based on blockchain. Cryptography and consensus protocols boost the blockchain platform implementation, acting as a deterrent to cyber-attacks and hacks. Blockchain platforms foster innovation among supply chain participants, resulting in ecosystem development. Traditional business processes have been severely disrupted by blockchains since apps and transactions that previously required centralized structures or trusted third-parties to authenticate them may now function in a decentralized manner with the same level of assurance. Because a blockchain split in AIS may easily lead to double-spending attacks, reducing the likelihood of a split has become a very important and difficult research subject. Reduced block relay time between the nodes can minimize the block propagation time of all nodes, resulting in better Bitcoin performance. In this paper, three problems were addressed on transaction and block propagation mechanisms in order to reduce the likelihood of a split. A novel algorithm for blockchain is proposed to reduce the total propagation delay in AIS transactions. Numerical results reveal that, the proposed algorithm performs better and reduce the transaction delay in AIS as compared with existing methods.

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Cite This Article

J. M. Alanazi and A. A. AlZubi, "An optimized method for information system transactions based on blockchain," Intelligent Automation & Soft Computing, vol. 35, no.2, pp. 2289–2308, 2023. https://doi.org/10.32604/iasc.2023.029181



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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