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FRAUD DETECTION IN FINANCIAL TRANSACTONS

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Financial 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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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, Ajay Sharma, Abhishek Jangid   +2 more
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Applying Simulation to the Problem of Detecting Financial Fraud.

, 2016
This thesis introduces a financial simulation model covering two related financial domains: Mobile Payments and Retail Stores systems.   The problem we address in these domains is different types of fraud. We limit ourselves to isolated cases of relatively straightforward fraud.
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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
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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  

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

A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges

Algorithms
Financial fraud has become a critical challenge for modern financial systems due to the rapid growth of digital transactions, online banking services, and electronic payment platforms.
Spiros Thivaios, Georgios Kostopoulos, Antonia Stefani, Sotiris Kotsiantis   +3 more
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