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Fraud Pentagon Dalam Mendeteksi Financial Statement Fraud
MDP Student Conference, 2023Tujuan dari penelitian ini adalah untuk mengetahui bagaimana elemen-elemen dari teori Fraud Pentagon mempengaruhi financial statement fraud. F-Score digunakan dalam penelitian ini sebagai proksi untuk financial statement fraud. Lima metrik yang digunakan dalam Pentagon Fraud adalah financial stability, ineffective monitoring, change in auditor, change ...
Cherrya Dhia Wenny, Nurandaru Oktaviani
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Journal of Risk and Financial Management
The increasing sophistication of fraud has rendered rule-based fraud detection obsolete, exposing banks to greater financial risk, reputational damage, and regulatory penalties.
Saif Khalifa Aljunaid +3 more
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The increasing sophistication of fraud has rendered rule-based fraud detection obsolete, exposing banks to greater financial risk, reputational damage, and regulatory penalties.
Saif Khalifa Aljunaid +3 more
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Forensic accounting in financial fraud detection: Trends and challenges
International Journal of Science and Research ArchiveForensic accounting plays a pivotal role in detecting and preventing financial fraud, blending investigative skills with accounting expertise to uncover financial discrepancies.
Adetunji Paul Adejumo +1 more
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Graph neural networks for financial fraud detection: a review
Frontiers of Computer ScienceThe landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology.
Dawei Cheng +3 more
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The role of big data in detecting and preventing financial fraud in digital transactions
World Journal of Advanced Research and ReviewsIn the era of digital transactions, the proliferation of financial fraud poses significant challenges to the security and integrity of financial systems worldwide.
E. O. Udeh +3 more
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World Journal of Advanced Engineering Technology and Sciences
Adaptive machine learning models are revolutionizing real-time financial fraud prevention in dynamic environments, offering unparalleled accuracy and responsiveness to evolving fraud patterns.
Halima Oluwabunmi +3 more
semanticscholar +1 more source
Adaptive machine learning models are revolutionizing real-time financial fraud prevention in dynamic environments, offering unparalleled accuracy and responsiveness to evolving fraud patterns.
Halima Oluwabunmi +3 more
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Implementing machine learning algorithms to detect and prevent financial fraud in real-time
Computer Science & IT Research JournalFinancial fraud poses a significant threat to the stability and integrity of global financial systems. This paper explores the potential of machine learning (ML) algorithms to enhance the detection and prevention of financial fraud in real-time.
Halima Oluwabunmi Bello +2 more
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2015
Fraud is a deception deliberately practiced in order to secure unfair or unlawful gain. Financial crimes affect private individuals, companies, organizations, and even states, and have a negative impact on the entire economic and social system through the considerable loss of money.
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Fraud is a deception deliberately practiced in order to secure unfair or unlawful gain. Financial crimes affect private individuals, companies, organizations, and even states, and have a negative impact on the entire economic and social system through the considerable loss of money.
openaire +1 more source
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
2025 IEEE International Conference on Quantum Software (QSW)This work introduces a Quantum Federated Neural Network for Financial Fraud Detection (QFNNFFD), an advanced framework merging Quantum Machine Learning (QML) and quantum computing with Federated Learning (FL) for financial fraud detection.
Nouhaila Innan +3 more
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Utilizing machine learning algorithms to prevent financial fraud and ensure transaction security
World Journal of Advanced Research and ReviewsFinancial fraud poses a significant threat to the global economy, necessitating advanced measures for detection and prevention. This paper explores the application of machine learning techniques to enhance transaction security and combat financial fraud.
Shadrack Obeng +3 more
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