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3 results for “Fraud Prevention”

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Research ArticleOpen accessEvery word in the titleSmall Business Entrepreneurs: A Focus on Fraud Risk and PreventionDoug LauferProblem statement: Small businesses have unique problems in fighting fraud. Typically there are limited resources devoted to anti-fraud efforts by small businesses. Employee fraud typically results in monetary loss, often not recovered, investigation expenses and negative impact on employee productivity and morale. Conclusion/Recommendations: This study provides information to assist the small business entrepreneur in identifying potential fraud risks and to … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 14 Jun 2011 · 8,620 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based PlatformPreeti Sharma, Meenakshi Malik, Chander Prabha et al.The conventional vehicle insurance claim and settlement landscape is characterised by significant inefficiencies, including cumbersome claim submissions, arbitrary damage assessments, and susceptibility to fraudulent activities. These problems lead to a longer processing time, higher operational cost to the insurers and a reduction in policyholder satisfaction. To address these important challenges, this study proposes a streamlined vehicle insurance claims system that … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite