Title :
Survey of fraud detection techniques
Author :
Kou, Yufeng ; Lu, Chang-Tien ; Sirwongwattana, S. ; Huang, Yo-Ping
Author_Institution :
Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Falls Church, VA, USA
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 transactions; customer profiles; data mining; fraud; monitoring; security of data; telecommunication security; computer intrusion detection; credit card fraud detection; data mining; expert systems; fraud detection techniques; model-based reasoning; neural networks; rule-based approach; state-transition analysis; telecommunication fraud detection; Computer crime; Computer networks; Computer science; Computerized monitoring; Credit cards; Data mining; Intrusion detection; Neural networks; Subscriptions; Telecommunication computing;
Conference_Titel :
Networking, Sensing and Control, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8193-9
DOI :
10.1109/ICNSC.2004.1297040