Real-Time Shill Bidding Fraud Detection Empowered With Fussed Machine Learning by Wajhe Ul Husnian Abidi, Mohammad Sh. Daoud, Baha Ihnaini, Muhammad Adnan Khan, Tahir Alyas, Areej Fatima, Munir Ahmad

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A privacy preserving recommendation and fraud detection method based on graph convolution by Yunfei Tan, Shuyu Li, Zehua Li

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Toll Fraud Detection of VoIP Service Networks in Ubiquitous Computing Environments by Kyung-Il Kim, Taegu Kim, Nam-Wook Cho, Minsoo Kim

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Integrating Machine Learning Algorithms With Quantum Annealing Solvers for Online Fraud Detection by Haibo Wang, Wendy Wang, Yi Liu, Bahram Alidaee

Subjects: “…Fraud detection…”
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BEHAVIOR BASED CREDIT CARD FRAUD DETECTION USING SUPPORT VECTOR MACHINES by V. Dheepa, R. Dhanapal

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Fraud Detection in Payments Transactions: Overview of Existing Approaches and Usage for Instant Payments by Alexander Diadiushkin, Kurt Sandkuhl, Alexander Maiatin

“…The paper investigates the possibility to use artificial intelligence in IP fraud detection. The main contributions of our work are (a) an analysis of problem relevance from business and literature perspective, (b) a proposal for technological support for using AI in fraud detection of instant payment transactions, and (c) a feasibility study of selected fraud detection approaches.…”
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Pressure, Dysfunctional Behavior, Fraud Detection and Role of Information Technology in the Audit Process by Muhammad Umar, Shinta Megawati Sitorus, Rika Lusiana Surya, Elvia R. Shauki, Vera Diyanti

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Hexagon Fraud: Detection of Fraudulent Financial Reporting in State-Owned Enterprises Indonesia by Tarmizi Achmad, Imam Ghozali, Imang Dapit Pamungkas

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Estimation of the Best Classification Algorithm and Fraud Detection of Olive Oil by Olfaction Machine by M. R Zarezadeh, M Aboonajmi, M Ghasemi-Varnamkhasti, F Azarikia

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Hidden Markov Model using transaction patterns for ATM card fraud detection by E.B. NKEMNOLE, A.A. AKINSETE

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Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review by Abdulalem Ali, Shukor Abd Razak, Siti Hajar Othman, Taiseer Abdalla Elfadil Eisa, Arafat Al-Dhaqm, Maged Nasser, Tusneem Elhassan, Hashim Elshafie, Abdu Saif

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A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection by Ibomoiye Domor Mienye, Yanxia Sun

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Credit Card Fraud Detection Using Deep Learning Based on Auto-Encoder by Sharma M. Abhilash, Raj B. R. Ganesh, Ramamurthy B., Bhaskar R. Hari

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NFA: A neural factorization autoencoder based online telephony fraud detection by Abdul Wahid, Mounira Msahli, Albert Bifet, Gerard Memmi

“…To reduce these losses, a new fraud detection approach is required. Telecom fraud detection involves identifying a small number of fraudulent calls from a vast amount of call traffic. …”
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Synthesizing class labels for highly imbalanced credit card fraud detection data by Robert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar, Zahra Salekshahrezaee

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Improving credit card fraud detection using machine learning and GAN technology by Thair Ali Najwan, Jasim Hasan Shahad, Ghandour Ahmad, Salam Al-Hchimy Zainab

“…Experimental results reveal varying degrees of accuracy in fraud detection. Model testing using the SMOTE method recorded an accuracy of 98.1% and an F-score of 98.3%. …”
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Individual Perception of Ethical Behavior and Whistleblowing on Fraud Detection through Self-Efficacy by I Gusti Ayu Purnamawati

“…<p>This study aims to determine individual perceptions of ethical behavior and whistleblowing on fraud detection through self-efficacy. Study on banking sector in Bali Province. …”
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Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer by Songkai Tang, Luhua Jin, Fan Cheng

Subjects: “…Fraud detection…”
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A Timelier Credit Card Fraud Detection by Mining Transaction Time Series by Leila Seyedhossein, Mahmoud Reza Hashemi

Subjects: “…fraud detection…”
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Advanced Fraud Detection in Blockchain Transactions: An Ensemble Learning and Explainable AI Approach by Shimal Sh. Taher, Siddeeq Y. Ameen, Jihan A. Ahmed

“…Additionally, we delve into the importance of eXplainable Artificial Intelligence (XAI) to enhance transparency, trust, and accountability in AI-based fraud detection systems. Our research contributes to the development of reliable and interpretable models that can significantly improve the cryptocurrency ecosystem security and integrity. …”
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