Paper published in a journal (Scientific congresses, symposiums and conference proceedings)
Blockchain-based Micropayment Systems: Economic Impact
Khan, Nida; Ahmad, Tabrez; State, Radu
2019In ACM IDEAS '19 Proceedings of the 23rd International Database Engineering & Applications Symposium
Peer reviewed
 

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Keywords :
Blockchain; Cryptocurrency; Micropayments; Economic Impact; Cybercrime
Abstract :
[en] The inception of blockchain catapulted the development of innovative use cases utilizing the trustless, decentralized environment, empowered by cryptocurrencies. The envisaged benefits of the technology includes the divisible nature of a cryptocurrency, that can facilitate payments in fractions of a cent, enabling micropayments through the blockchain. Micropayments are a critical tool to enable financial inclusion and to aid in global poverty alleviation. The paper conducts a study on the economic impact of blockchain-based micropayment systems, emphasizing their significance for socioeconomic benefit and financial inclusion. The paper also highlights the contribution of blockchain-based micropayments to the cybercrime economy, indicating the critical need of economic regulations to curtail the growing threat posed by the digital payment mechanism.
Disciplines :
Computer science
Author, co-author :
Khan, Nida ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ahmad, Tabrez;  ArcelorMittal Europe
State, Radu  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Blockchain-based Micropayment Systems: Economic Impact
Publication date :
2019
Event name :
ACM 23rd International Database Engineering & Applications Symposium
Event place :
Athens, Greece
Event date :
10-06-2019 to 12-06-2019
Audience :
International
Journal title :
ACM IDEAS '19 Proceedings of the 23rd International Database Engineering & Applications Symposium
Publisher :
ACM, New York, United States
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Finance
FnR Project :
FNR11617092 - Data Analytics And Smart Contracts For Traceability In Finance, 2017 (01/03/2017-31/01/2021) - Nida Khan
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