Blockchain; Stellar; Micropayments; Data Analysis; Cybercrime
Résumé :
[en] The advent of Bitcoin was heralded as an innovation in the global monetary system, that could bring down transaction fees by circumventing the need for third parties and conduct transactions in real time. The divisibility of a blockchain cryptocurrency to even fractions of a cent, caused microtransactions to become feasible to formerly non-existent denominations. These microtransactions have spurred the development of novel ways of monetizing online resources and hold the potential to aid in alleviation of poverty. The paper conducts a feasibility study on Stellar as a blockchain-based micropayment system. It highlights the computational and other issues that impedes its progress and utilizes a characterization model for micropayment systems to evaluate the efficacy of the Stellar platform. The paper conducts a comparison with the micropayment solutions from Bitcoin, Ethereum and PayPal. The paper analyzes a subset of transactions from the Stellar blockchain to aid in drawing a conclusion on the undertaken study and elaborates on the mitigation tools to enable fraud prevention in online monetary transactions.
Disciplines :
Sciences informatiques Finance
Auteur, co-auteur :
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)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Feasibility of Stellar as a Blockchain-based Micropayment System
Date de publication/diffusion :
novembre 2019
Nom de la manifestation :
2nd International Conference on Smart Blockchain
Date de la manifestation :
11-11-2019 to 13-11-2019
Manifestation à portée :
International
Titre de l'ouvrage principal :
Springer SmartBlock 2019 - 2nd International Conference on Smart Blockchain
Maison d'édition :
Springer
ISBN/EAN :
978-3-030-34083-4
Peer reviewed :
Peer reviewed
Projet FnR :
FNR11617092 - Data Analytics And Smart Contracts For Traceability In Finance, 2017 (01/03/2017-31/01/2021) - Nida Khan
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