Survey of fraud detection techniques

  • Kou Y
  • Lu C
  • Sirwongwattana S
 et al. 
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Abstract

In order to reduce the huge loss caused by var-ious frauds, a number of modern techniques have been de-veloped for fraud detection. Fraud detection involves mon-itoring the behavior of populations of users in order to es-timate, detect, or avoid undesirable behavior. Undesirable behavior is a broad term including delinquency, fraud, in-trusion, and account defaulting. This paper presents a com-prehensive survey about the techniques for identifying dif-ferent types of frauds, including credit card fraud, telecom-munication fraud, and computer intrusion. The goal of this paper is to provide a comprehensive review of different tech-niques to detect frauds.

Author-supplied keywords

  • Fraud detection
  • computer intrusion
  • data mining
  • knowledge discovery
  • neural network

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Authors

  • Yufeng Kou

  • C. T Lu

  • Sirirat Sirwongwattana

  • Y. P Huang

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