Abstract

Due to the dramatic increase of fraud which results in loss of billions of dollars worldwide each year, several modern techniques in detecting fraud are continually developed and applied to many business fields. Fraud detection involves monitoring the behavior of populations of users in order to estimate, detect, or avoid undesirable behavior. Undesirable behavior is a broad term including delinquency, fraud, intrusion, and account defaulting. This paper presents a survey of current techniques used in credit card fraud detection, telecommunication fraud detection, and computer intrusion detection. The goal of this paper is to provide a comprehensive review of different techniques to detect frauds.

Keywords:
Credit card fraud Intrusion detection system Computer science Computer security Default Credit card Business Finance World Wide Web Payment

Metrics

406
Cited By
8.11
FWCI (Field Weighted Citation Impact)
34
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications

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