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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 10, 2022.
Abstract: Blockchain has become a great trend and very popular in the present era. There are two types of Blockchain technology, centralized and decentralized. In this research, the main concern is about the decentralized payment gateway, which is a trustworthy architecture and does not depend on third parties. For recording the transaction, decentralized payment systems use distributed ledger. Previously, Bitcoin and Ethereum payment systems were used to verify the consistency of the ledger of blockchain and also the transaction data along with the sender-receiver address and transaction value, but as all the payment system is public, so the transaction mode is also public. However, here the main concern is privacy and security. Because anyone can easily access the network, the attacker can also attack the network and the identity and transaction records and the address of the user identity, which is a privacy challenge. This research incorporates the Hyperledger Fabric, which is private, to overcome this challenge. Moreover, no one can access it from outside of the network. The transaction cost is low and the timing is fast during transactions. Considering the above scenario, this research proposes a decentralized payment system architecture using Hyperledger Fabric.
Md. Al-Amin, Khondoker Shahrina, Rubyet Hossain, Debashish Sarker and Sumya Sultana Meem, “Decentralized Payment Aggregator: Hyperledger Fabric” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.01310101
@article{Al-Amin2022,
title = {Decentralized Payment Aggregator: Hyperledger Fabric},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.01310101},
url = {http://dx.doi.org/10.14569/IJACSA.2022.01310101},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Md. Al-Amin and Khondoker Shahrina and Rubyet Hossain and Debashish Sarker and Sumya Sultana Meem}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.