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The Southern African Journal of Entrepreneurship and Small Business Management, 2008 Given the important socio-economic role performed by Small, Medium and Micro Enterprises (SMMEs) and the negative consequences of fraud on their businesses, the objective of this study was to investigate the perceptions and management of fraud by SMME ...
Suzette Viviers, Danie Venter
doaj +1 more source
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019 In today scenario for data and fund transfer we are mainly depended on the internet. So prevention of fraud, abuse and data alteration through internet has become a major concern of many organizations. Our paper focuses the direction towards the document fraud detection.
Ashifa. T, Sathya. R
openaire +1 more source
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection [PDF]
The Web Conference, 2023 As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these malicious activities to protect susceptible users from being victimized.
Sihao Hu +5 more
semanticscholar +1 more source
A Systematic Literature Review of Fraud Detection Metrics in Business Processes
IEEE Access, 2020 Fraud is a primary source of organization losses, amounting to up to 5% of yearly revenues. Process-based fraud (PBF) is fraud involving a deviation from the standard operating procedure (SOP) of business processes.
Badr Omair, Ahmad Alturki
doaj +1 more source
An Introduction to Machine Learning Methods for Fraud Detection
Applied SciencesFinancial fraud represents a critical global challenge with substantial economic and social consequences. This comprehensive review synthesizes the current knowledge on machine learning approaches for financial fraud detection, examining their ...
Antonio Alessio Compagnino +6 more
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A Review of Financial Accounting Fraud Detection based on Data Mining Techniques
, 2012 With an upsurge in financial accounting fraud in the current economic scenario experienced, financial accounting fraud detection (FAFD) has become an emerging topic of great importance for academic, research and industries.
Panigrahi, Prabin Kumar, Sharma, Anuj
core +1 more source
Fraud detection in energy consumption: a supervised approach [PDF]
, 2016 Data from utility meters (gas, electricity, water) is a rich source of information for distribution companies, beyond billing. In this paper we present a supervised technique, which primarily but not only feeds on meter information, to detect meter ...
Alcoverro, Santiago +4 more
core +1 more source
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Big Data and Cognitive ComputingIn the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid +5 more
semanticscholar +1 more source
Federated learning model for credit card fraud detection with data balancing techniques
Neural computing & applications (Print)In recent years, credit card transaction fraud has resulted in massive losses for both consumers and banks. Subsequently, both cardholders and banks need a strong fraud detection system to reduce cardholder losses.
Mustafa Abdul Salam +3 more
semanticscholar +1 more source
From Traditional Methods to Machine Learning: The Evolution of Fraud Detection in Auditing with New Technologies [PDF]
پژوهشهای تجربی حسابداریFraudulent financial reporting is a global issue with significant negative consequences for all stakeholders. However, detecting fraud remains challenging due to its subjective nature.
Zahra Taheri +2 more
doaj +1 more source