Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances

• Published in: Expert systems with applications Vol. 193; p. 116429
• Main Authors: Hilal, Waleed, Gadsden, S. Andrew, Yawney, John
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 01.05.2022; Elsevier BV
• Subjects: Algorithms; Anomalies; Anomaly detection; Artificial intelligence; Credit card fraud; Crime; Deep learning; Economic development; Financial fraud; Fraud; Index Terms — Anomaly; Insider trading; Insurance fraud; Machine learning; Money laundering; Outlier; Outlier detection; Securities and commodities fraud; Outlier; Deep learning; Insider trading; Credit card fraud; Securities and commodities fraud; Machine learning; Money laundering; Outlier detection; Insurance fraud; Financial fraud; Index Terms — Anomaly; Anomaly detection

•This survey includes the most popular and effective anomaly detection techniques.•Highlights recent advancements in semi-supervised and unsupervised learning.•Comprehensive discussion in financial fraud applications.•This survey will form a foundation for future research in the area. With the rise...