New bank account fraud is a significant problem causing financial losses in banking and
finance. Existing statistical and machine-learning methods were used to detect fraud thereby …

This research explores machine learning techniques for detecting fraudulent bank account
openings using a recently published large-scale benchmark dataset. Multiple classification …

Fraud refers to earn wealth including property, goods and services through immoral and non-
legal channels. Fraud has always been in action and experiences an increasing trend …

The financial industry, dealing with extensive data on individuals' health and finances, is
particularly vulnerable to credit card theft and online financial fraud. To mitigate financial …

Financial fraud detection is a critical domain in which the continuous evolution of fraudulent
tactics necessitates advanced and adaptive detection mechanisms. This paper addresses …

The world is turning to financial fraud as a base for daily transactions due to the rapid growth
of digital technologies, which creates numerous new opportunities for criminals to misuse …

Purpose Fraud transaction detection has become a significant factor in the communication
technologies and electronic commerce systems, as it affects the usage of electronic …

Banking fraud is a problem that is becoming more and more serious, along with
considerable monetary losses, damage to the bank's brand, loss of client and customer …

Technological growth brings various fields into linear advancement, The banking domain is
one among these and it deals with financial activities. There are some key enabling …

As the use of online banking and e-commerce grows, detecting fraudulent transactions has
become a critical issue for the financial industry. This project evaluates the performance of …