DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-3,Issue-12 ( Dec, 2016 ) | |||||||||
Paper Title |
Probabilistic Credit Card Fraud Detection System in Online Transactions | |||||||||
Author Name |
Ismaila W.O., Alese B. K., Ismaila F. M. | |||||||||
Affilition |
1Department of Computer Science & Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2Department of Computer Science, Federal University of Technology, Akure, Nigeria. 3Department of Information and Communication Technology, National Open University, Lagos, Nigeria. | |||||||||
Pages |
55-60 | |||||||||
Abstract |
This paper discussed the past works on fraud detection system and highlights their deficiencies. A probabilistic based model was proposed to serve as a basis for mathematical derivation for adaptive threshold algorithm for detecting anomaly transactions. The model was optimized with Baum-Welsh and hybrid posterior-Viterbi algorithms. A credit card transactional data was simulated, trained and predicted for fraud. Four profiles are considered viz; (55 35 10), (70 20 10), (95 3 2) and (34 33 33). And finally, the proposed model was evaluated with different metrics namely; True-positive, falsepositive, accuracy and ROC curve. The results showed that with the optimization of parameters, posterior-Viterbi cum new detection model performed better than Viterbi cum old detection model. Keywords- Probabilistic, Baum-Welsh, HMM, posterior-Viterbi, fraud detection, Optimization | |||||||||
| View Paper | ||||||||||
