Results 61 to 70 of about 5,553 (160)

Online Banking Fraud Detection Model: Decentralized Machine Learning Framework to Enhance Effectiveness and Compliance with Data Privacy Regulations

Mathematics
In such a dynamic and increasingly digitalized financial sector, many sophisticated fraudulent and cybercrime activities continue to challenge conventional detection systems.
Hisham AbouGrad, Lakshmi Sankuru
doaj   +1 more source

An Intelligent Financial Fraud Detection Support System Based on Three-Level Relationship Penetration

Mathematics
Financial fraud is a serious challenge in a rapidly evolving digital economy that places increasing demands on detection systems. However, traditional methods are often limited by the dimensional information of the corporations themselves and are ...
Xiang Li, Lei Chu, Yujun Li, Zhanjun Xing, Fengqian Ding, Jintao Li, Ben Ma   +6 more
doaj   +1 more source

Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications

IEEE Access
Financial statement fraud is a serious threat to the stability of the financial market. Therefore, effective detection methods are crucial to prevent significant losses to investors and damage to companies’ reputations.
Bixuan Li, Jerome Yen, Sheng Wang
doaj   +1 more source

AI-Driven Fraud Detection in Digital Banking: A Hybrid Approach using Deep Learning and Anomaly Detection

Sistemasi: Jurnal Sistem Informasi
The rapid digital transformation in the banking sector has introduced new opportunities for efficiency and customer convenience but has also amplified the risks of financial fraud.
Harman Salih Mohammed, Zina Bibo Sallow, Hewa Majeed Zangana   +2 more
doaj   +1 more source

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Forecasting
Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow learning ...
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro   +2 more
doaj   +1 more source

Is fraud detection feasible without training data? Testing an expert-based approach

Journal of Business Economics and Management
We aim to derive a fraud detection approach applicable to conditions where historical fraud data is absent, inadequate, or outdated for making predictions.
Serdar Benligiray, Ahmet Onay, Fatma Yaşli Şen   +2 more
doaj   +1 more source

A Deep Learning Method of Credit Card Fraud Detection Based on Continuous-Coupled Neural Networks

Mathematics
With the widespread use of credit cards in online and offline transactions, credit card fraud has become a significant challenge in the financial sector. The rapid advancement of payment technologies has led to increasingly sophisticated fraud techniques,
Yanxi Wu, Liping Wang, Hongyu Li, Jizhao Liu   +3 more
doaj   +1 more source

Analysis of the Fraud Triangle in Detecting Financial Statement Fraud

Jurnal Cakrawala Akuntansi
This study aims to examine and analyze the influence of financial stability, external pressure, financial targets, nature of industry, and rationalization on financial statement fraud. The research population comprises state-owned enterprises (BUMN) listed on the Indonesia Stock Exchange (IDX) for the period 2014–2018.
Sipatuhar, Elisabhet, Wahyudi, Ilham, Wijaya, Rico   +2 more
openaire   +2 more sources

A Timelier Credit Card Fraud Detection by Mining Transaction Time Series

International Journal of Information and Communication Technology Research, 2010
As e-commerce sales continue to grow, the associated online fraud remains an attractive source of revenue for fraudsters. These fraudulent activities impose a considerable financial loss to merchants, making online fraud detection a necessity.
Leila Seyedhossein, Mahmoud Reza Hashemi
doaj  

The Relationship Between Fraud Pentagon, Audit Quality, and Financial Performance with the Risk of Financial Statement Fraud: An Empirical Study on PT Indofarma

Indonesian Interdisciplinary Journal of Sharia Economics
This study aims to analyze the effect of Fraud Pentagon, Audit Quality, and Financial Performance on the risk of financial statement fraud at PT Indofarma Tbk during the period 2020-2023.
Carsinah Azhara, Sirri Mubarokah, Cahya Dewi Kirani, Janiman Janiman   +3 more
doaj