[PDF][PDF] An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection.

EA Minastireanu, G Mesnita - Informatica Economica, 2019‏ - revistaie.ase.ro
Today illegal activities regarding online financial transactions have become increasingly
complex and borderless, resulting in huge financial losses for both sides, customers and …

Machine Learning‐Based Secure Data Acquisition for Fake Accounts Detection in Future Mobile Communication Networks

B Prabhu Kavin, S Karki, S Hemalatha… - Wireless …, 2022‏ - Wiley Online Library
Social media websites are becoming more prevalent on the Internet. Sites, such as Twitter,
Facebook, and Instagram, spend significantly more of their time on users online. People in …

[PDF][PDF] Fraud detection in ecommerce payment systems: The role of predictive ai in real-time transaction security and risk management

R Khurana - International Journal of Applied Machine Learning …, 2020‏ - researchgate.net
Ecommerce platforms need to assure transaction security in the face of rising challenges
and fraud attempts that are perilous for business and consumers alike. Predictive AI has …

NNEnsLeG: A novel approach for e-commerce payment fraud detection using ensemble learning and neural networks

Q Zeng, L Lin, R Jiang, W Huang, D Lin - Information Processing & …, 2025‏ - Elsevier
The proliferation of fraud in online shop** has accompanied the development of e-
commerce, leading to substantial economic losses, and affecting consumer trust in online …

Using harmony search algorithm in neural networks to improve fraud detection in banking system

S Daliri - Computational Intelligence and Neuroscience, 2020‏ - Wiley Online Library
Financial fraud is among the main problems undermining the confidence of customers in
addition to incurring economic losses to banks and financial institutions. In recent years …

Securing electronic transactions via payment gateways–a systematic review

RF Olanrewaju, BUI Khan… - … Journal of Internet …, 2017‏ - inderscienceonline.com
This study focuses on the means to ensure the security and success of electronic payments
which form part and parcel of e-commerce. This paper also highlights the primary functions …

Detection of fraudulent sellers in online marketplaces using support vector machine approach

S Renjith - arxiv preprint arxiv:1805.00464, 2018‏ - arxiv.org
The e-commerce share in the global retail spend is showing a steady increase over the
years indicating an evident shift of consumer attention from bricks and mortar to clicks in …

E-commerce merchant fraud detection using machine learning approach

F Hasan, SK Mondal, MR Kabir… - 2022 7th …, 2022‏ - ieeexplore.ieee.org
At present, e-commerce has become a global phenomenon. With the great achievement of
ecommerce, many are cruel Promotional services are also increasing: with the aim of …

Anti-fraud system on the basis of data mining technologies

MU Sapozhnikova, AV Nikonov… - 2017 IEEE …, 2017‏ - ieeexplore.ieee.org
The article is devoted to the issues of increasing the efficiency of transaction monitoring
systems (TMS). The main types of TMS with their advantages and disadvantages are …