A systematic literature review on frauds in banking sector

D Mangala, L Soni - Journal of Financial Crime, 2023 - emerald.com
Purpose Banking industry peculiarly has become soft target for several pernicious deceptive
and fraudulent activities. The purpose of this paper is to systematically review the literature …

An intelligent approach to credit card fraud detection using an optimized light gradient boosting machine

AA Taha, SJ Malebary - IEEE access, 2020 - ieeexplore.ieee.org
New advances in electronic commerce systems and communication technologies have
made the credit card the potentially most popular method of payment for both regular and …

Credit card fraud detection: a realistic modeling and a novel learning strategy

A Dal Pozzolo, G Boracchi, O Caelen… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Detecting frauds in credit card transactions is perhaps one of the best testbeds for
computational intelligence algorithms. In fact, this problem involves a number of relevant …

Fraud detection in mobile payment systems using an XGBoost-based framework

P Hajek, MZ Abedin, U Sivarajah - Information Systems Frontiers, 2023 - Springer
Mobile payment systems are becoming more popular due to the increase in the number of
smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore …

Supervised machine learning algorithms for credit card fraudulent transaction detection: a comparative study

S Dhankhad, E Mohammed… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
The goal of data analytics is to delineate hidden patterns and use them to support informed
decisions in a variety of situations. Credit card fraud is escalating significantly with the …

[PDF][PDF] A review on credit card fraud detection using machine learning

S Shirgave, C Awati, R More, S Patil - International Journal of …, 2019 - researchgate.net
In recent years credit card fraud has become one of the growing problem. A large financial
loss has greatly affected individual person using credit card and also the merchants and …

A survey of machine-learning and nature-inspired based credit card fraud detection techniques

AO Adewumi, AA Akinyelu - International Journal of System Assurance …, 2017 - Springer
Credit card is one of the popular modes of payment for electronic transactions in many
developed and develo** countries. Invention of credit cards has made online transactions …

[PDF][PDF] Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression.

AS Hussein, RS Khairy… - … journal of interactive …, 2021 - pdfs.semanticscholar.org
The global online communication channel made possible with the internet has increased
credit card fraud leading to huge loss of monetary fund in their billions annually for …

An artificial intelligence approach to financial fraud detection under IoT environment: A survey and implementation

D Choi, K Lee - Security and Communication Networks, 2018 - Wiley Online Library
Financial fraud under IoT environment refers to the unauthorized use of mobile transaction
using mobile platform through identity theft or credit card stealing to obtain money …

Fraud detection with natural language processing

P Boulieris, J Pavlopoulos, A Xenos, V Vassalos - Machine Learning, 2024 - Springer
Automated fraud detection can assist organisations to safeguard user accounts, a task that is
very challenging due to the great sparsity of known fraud transactions. Many approaches in …