Results 51 to 60 of about 5,553 (160)
Fraud diamond analysis in detecting financial statement fraud [PDF]
The Indonesian Accounting Review, 2019 This study aimed to analyze the factors used to detect financial statement fraud from a fraud diamond perspective. It tried to find out the effect of pressure proxied by financial targets, opportunity proxied by ineffective monitoring, rationalization proxied by change in auditors, and capability proxied by director change on financial statement fraud.
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Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms. [PDF]
Entropy (Basel), 2022 Zhao Z, Bai T.
europepmc +1 more source
Real-Time Financial Fraud Detection Using Adaptive Graph Neural Networks and Federated Learning
International Journal of Management and Data AnalyticsDetecting financial fraud in real time is an ongoing challenge due to the ever-evolving nature of fraudulent activities. Conventional fraud detection systems rely heavily on static machine learning models, which often struggle to adapt to emerging fraud
Milad Rahmati
doaj
Machine Learning-Based Data Generative Techniques for Credit Card Fraud-Detection Systems
MathematicsThis study investigates the pressing issue of credit card fraud in the context of evolving e-commerce platforms and the necessity for improved fraud detection mechanisms.
Xiaomei Feng, Song-Kyoo Kim
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International Journal of Management and Data AnalyticsThe rapid expansion of digital financial transactions has led to an increase in sophisticated fraud techniques, particularly within high-frequency trading and online banking systems.
Milad Rahmati, Nima Rahmati
doaj
Role of AI in preventing financial crime: A comprehensive analytical review
Journal of Economic CriminologyFinancial crime is now considered the biggest threat to the world economy. It is increasing rapidly, with huge losses every year. Traditional fraud detection methods have proven inadequate in the race, with fraudsters continuously adopting newer tactics ...
Nasir Uddin
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AI in Financial Fraud Detection
AbstractThis research paper, explores the transformative role of Artificial Intelligence (AI) in financial fraud detection. As digitalfinancial transactions surge globally, traditional rule-based systems struggle to keep pace with the sophistication ofmodern fraud.
Ankit Kumar Taneja +2 more
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Jurnal Akuntansi Multiparadigma, 2010 Financial fraud is costly and it can be done by almost everyone within (and outside of) an organization. Prevention through early detection of fraud is an important way to reduce fraud.
Rima Novi Kartikasari, Gugus Irianto
doaj
Adaptive secure federated cloud framework for high-accuracy fraud detection in financial systems
AutomatikaCloud computing is revolutionizing the finance sector for scalable machine learning applications for use in fraud detection, risk assessment, and credit scoring, among others.
Malatthi Sivasundaram +3 more
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FRAUD DETECTION IN FINANCIAL TRANSACTONS
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTFinancial fraud, considered as deceptive tactics for gaining financial benefits, has recently become a widespread menace in companies and organizations. Conventional techniques such as manual verifications and inspections are imprecise, costly, and time consuming for identifying such fraudulent activities. With the advent of artificial intelligence,
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