Title :
Real Time Credit Card Fraud Detection using Computational Intelligence
Author :
Quah, Jon T S ; Sriganesh, M.
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
Online banking and e-commerce have been experiencing rapid growth over the past few years and show tremendous promise of growth even in the future. This has made it easier for fraudsters to indulge in new and abstruse ways of committing credit card fraud over the Internet. This paper focuses on real-time fraud detection and presents a new and innovative approach in understanding spending patterns to decipher potential fraud cases. It makes use of Self Organization Map to decipher, filter and analyze customer behavior for detection of fraud.
Keywords :
Internet; banking; credit transactions; electronic commerce; fraud; security of data; self-organising feature maps; Internet; computational intelligence; customer behavior; e-commerce; fraud decipher; fraudster; online banking; real time credit card fraud detection; realtime fraud detection; self organization map; spending pattern; Banking; Computational intelligence; Costs; Credit cards; Helium; Information filtering; Information filters; Internet; Neural networks; Statistics;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371071
