scholarly journals Fully Authentication Services Scheme for NFC Mobile Payment Systems

2022 ◽  
Vol 32 (1) ◽  
pp. 401-428
Author(s):  
Munefah Alshammari ◽  
Shadi Nashwan
Keyword(s):  
Mobile Payment ◽  
Payment Systems ◽  
Nfc Mobile Payment

The use of statistical methods in the analysis of mobile payment market in Poland

2020 ◽  
Vol 3 (2) ◽  
pp. 45-50
Author(s):  
Artur Borcuch
Keyword(s):  
Economic Growth ◽  
Economic Activity ◽  
Initial Phase ◽  
Positive Impact ◽  
Ease Of Use ◽  
Mobile Payment ◽  
Human History ◽  
Payment Systems ◽  
Mobile Payments ◽  
Payment Instruments

Payments are an inherent element of economic activity (León and Ortega 2018). However, the evolution of payment instruments and the way individuals and businesses make daily payments has undergone enormous change in human history, particularly due to main innovations in payment systems in last decades (Gandhi 2016). The last innovation in payment system concerns mobile payment. The development of mobile payments market can have a positive impact on economic growth (Leon and Rodriguez 2012). Although the Polish market of mobile payments is in the initial phase of development, it is one of the pioneering and leading in Europe and globally. The main purpose of this article is to analyze, which feature (convenience, speed, availability, ease of use, safety) of mobile payments could be the most important for users from Poland.

scholarly journals Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied

2019 ◽  
Vol 146 ◽  
pp. 931-944 ◽  
Author(s):  
Iviane Ramos de Luna ◽  
Francisco Liébana-Cabanillas ◽  
Juan Sánchez-Fernández ◽  
Francisco Muñoz-Leiva
Keyword(s):  
Mobile Payment ◽  
Payment Systems

The Analysis of Money Laundering Techniq

2011 ◽  
pp. 138-145
Author(s):  
Krzysztof Woda
Keyword(s):  
Money Laundering ◽  
Single Phase ◽  
Mobile Payment ◽  
Electronic Payment ◽  
Multistage Process ◽  
Payment Systems ◽  
Terrorism Financing

There exist many connections between money laundering and terrorism financing concerning illicit practices for fundraising, transfer or withdrawal of funds. The characteristic multistage process of money laundering is also typical for the terrorism financing and often contains a series of transactions in order to conceal the origin or disposition of money. The purpose of this article is the analysis of the best suited techniques of money laundering for terrorism financing using electronic payment systems (like transfers, mobile payment systems or virtual gold currencies). Furthermore, the suitability of payment systems for conducting secret transactions for terrorism financing will be analyzed regarding the realization of a single phase of money laundering.

Detection of Anomalous Transactions in Mobile Payment Systems

2020 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Ibrar Hussain ◽  
Muhammad Asif
Keyword(s):  
Data Mining ◽  
Comparative Analysis ◽  
Economic Activity ◽  
Research Study ◽  
Mobile Payment ◽  
Financial Fraud ◽  
Classification Algorithms ◽  
Classification Models ◽  
Payment Systems ◽  
Substantial Impact

Mobile payment systems are providing an opportunity for smartphone users for transferring money to each other with ease. This simple way of transferring through mobile payment systems has great potential for economic activity. However, fraudulent transactions may occur and can have a substantial impact on the economy of a country. Financial fraud and anomalous transactions can cause a loss of billions of dollars annually. Therefore, there is a need to detect anomalous transactions through mobile payment systems to prevent financial fraud. For this research study, a synthetic dataset is generated by using a PAYSIM simulator due to the lack of availability of a realistic dataset. This research study performed experiments on a financial transactional dataset using eight data mining classification algorithms. The performance of classification models was measured by using evaluation metrics: accuracy, precision, F-score, recall, and specificity. A comparative analysis of classification models was also performed based on their performance.

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