The rapid evolution of the Smart-everything movement and Artificial Intelligence (AI)
advancements have given rise to sophisticated cyber threats that traditional methods cannot …

The adoption phase mainly dominates research on mobile payment in Indonesia. With the
popularity of mobile payment and the fast growing number of payment providers, it's …

Abstract Machine learning and data mining techniques have been used extensively in order
to detect credit card frauds. However, most studies consider credit card transactions as …

Protecting against interference is essential at a time when wireless communications are
essential for sending large amounts of data. Our research presents a novel deep learning …

This review paper offers a comprehensive exploration of the symbiotic relationship between
sustainable ground transportation and the dynamic realm of e-commerce. It delves into the …

Deep neural networks (DNN) models have been widely applied in many tasks. However,
recent researches have shown that DNN models are vulnerable to backdoor attacks. A …

This study examined the impact of financial inclusion on economic growth disaggregated
into traditional finance and digital finance with its sub-dimension for 29 Sub-Saharan African …

In the past twenty years, there have been significant improvements in internet technology,
leading to new services accessed through various web-based portals and applications …

Money laundering is an act of criminals attempting to cover up the nature and source of their
illegal gains. Large-scale money laundering has a great harm to a country's economy …

In this paper we analyze the influence of technology on the level of the economic and
financial crime, using data for 185 countries over the 2012–2015 time period and controlling …