[HTML][HTML] Financial fraud: a review of anomaly detection techniques and recent advances

W Hilal, SA Gadsden, J Yawney - Expert systems With applications, 2022 - Elsevier
With the rise of technology and the continued economic growth evident in modern society,
acts of fraud have become much more prevalent in the financial industry, costing institutions …

Fraud detection system: A survey

A Abdallah, MA Maarof, A Zainal - Journal of Network and Computer …, 2016 - Elsevier
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …

Credit card fraud detection using machine learning techniques: A comparative analysis

JO Awoyemi, AO Adetunmbi… - … and informatics (ICCNI), 2017 - ieeexplore.ieee.org
Financial fraud is an ever growing menace with far consequences in the financial industry.
Data mining had played an imperative role in the detection of credit card fraud in online …

An experimental study with imbalanced classification approaches for credit card fraud detection

S Makki, Z Assaghir, Y Taher, R Haque… - IEEE …, 2019 - ieeexplore.ieee.org
Credit card fraud is a criminal offense. It causes severe damage to financial institutions and
individuals. Therefore, the detection and prevention of fraudulent activities are critically …

Random forest for credit card fraud detection

S Xuan, G Liu, Z Li, L Zheng, S Wang… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Credit card fraud events take place frequently and then result in huge financial losses.
Criminals can use some technologies such as Trojan or Phishing to steal the information of …

Deep learning detecting fraud in credit card transactions

A Roy, J Sun, R Mahoney, L Alonzi… - 2018 systems and …, 2018 - ieeexplore.ieee.org
Credit card fraud resulted in the loss of $3 billion to North American financial institutions in
2017. The rise of digital payments systems such as Apple Pay, Android Pay, and Venmo has …

Semi-supervised credit card fraud detection via attribute-driven graph representation

S Xiang, M Zhu, D Cheng, E Li, R Zhao… - Proceedings of the …, 2023 - ojs.aaai.org
Credit card fraud incurs a considerable cost for both cardholders and issuing banks.
Contemporary methods apply machine learning-based classifiers to detect fraudulent …

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 …

Digital payment fraud detection methods in digital ages and Industry 4.0

V Chang, A Di Stefano, Z Sun, G Fortino - Computers and Electrical …, 2022 - Elsevier
The advent of the digital economy and Industry 4.0 enables financial organizations to adapt
their processes and mitigate the risks and losses associated with the fraud. Machine …

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 developing countries. Invention of credit cards has made online transactions …