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Artificial Intelligence in fraud detection: Revolutionizing financial security

International Journal of Science and Research Archive
Artificial Intelligence (AI) has revolutionized financial fraud detection by providing more accurate, scalable, and adaptive systems across various sectors, including banking, insurance, and healthcare.
Francis Baidoo Jnr   +2 more
semanticscholar   +1 more source

Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection

IEEE Access, 2023
Fraudulent transactions and how to detect them remain a significant problem for financial institutions around the world. The need for advanced fraud detection systems to safeguard assets and maintain customer trust is paramount for financial institutions,
Tomisin Awosika   +2 more
semanticscholar   +1 more source

Financial fraud detection using quantum graph neural networks

Quantum Machine Intelligence, 2023
Financial fraud detection is essential for preventing significant financial losses and maintaining the reputation of financial institutions. However, conventional methods of detecting financial fraud have limited effectiveness, necessitating the need for
Nouhaila Innan   +9 more
semanticscholar   +1 more source

Graph neural networks for financial fraud detection: a review

Frontiers of Computer Science
The 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
semanticscholar   +1 more source

Fraud detection using fraud triangle risk factors

Information Systems Frontiers, 2016
The objective of this study is to identify the financial statement fraud factors and rank the relative importance. First, this study reviews the previous studies to identify the possible fraud indicators. Expert questionnaires are distributed next. After questionnaires are collected, Lawshe's approach is employed to eliminate these factors whose CVR ...
Shaio Yan Huang   +3 more
openaire   +1 more source

Integrating machine learning and blockchain: Conceptual frameworks for real-time fraud detection and prevention

World Journal of Advanced Research and Reviews
Integrating machine learning (ML) and blockchain technologies presents a groundbreaking approach to real-time fraud detection and prevention, addressing the growing complexity and sophistication of financial fraud schemes.
Halima Oluwabunmi Bello   +1 more
semanticscholar   +1 more source

Optimizing fraud detection in financial transactions with machine learning and imbalance mitigation

Expert Syst. J. Knowl. Eng.
The rapid advancement of the Internet and digital payments has transformed the landscape of financial transactions, leading to both technological progress and an alarming rise in cybercrime.
E. AL-Dahasi   +3 more
semanticscholar   +1 more source

Enhancing fraud prevention and detection by profiling fraud offenders

Criminal Behaviour and Mental Health, 2004
AbstractAimsThe paper first focuses on the crime of fraud and then on approaches to profiling offenders before examining closely studies of fraud offenders and their motivation.MethodDrawing on the existing empirical literature, a profile of the serious fraud offender is presented and critiqued together with a taxonomy of such offenders comprising 12 ...
Kapardis, Andreas   +3 more
openaire   +4 more sources

Online Payment Fraud Detection

2023
The rise of the internet and e-commerce appears to entail the usage of online payment transactions. The increased usage of online payments is leading to a rise in fraud. However, as the number of online transactions increases, so does the number of fraud instances.
NagaBabu Pachhala   +5 more
openaire   +1 more source

Fraud Feature Boosting Mechanism and Spiral Oversampling Balancing Technique for Credit Card Fraud Detection

IEEE Transactions on Computational Social Systems
With the flourishing of the credit card business and Internet technology, the risk of fraudulent credit card transactions is ever-increasing due to the complex information involved in the credit card business.
Lina Ni   +4 more
semanticscholar   +1 more source

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