International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 45 - Number 21 |
Year of Publication: 2012 |
Authors: Sunil S Mhamane, L.m.r.j Lobo |
10.5120/7071-9556 |
Sunil S Mhamane, L.m.r.j Lobo . Use of Hidden Markov Model as Internet Banking Fraud Detection. International Journal of Computer Applications. 45, 21 ( May 2012), 5-10. DOI=10.5120/7071-9556
Now a day's Many Peoples are using internet banking for online Transaction we call it as E-commerce. As online transaction interest is increased associated with there are many frauds increasing such as using key logger, virus and worms to reveal internet banking account information such as password and ID. In this paper we explained about how Fraud is detected using Hidden Markov Model also care has been taken to prevent genuine Transaction should not be rejected by making use of one time password which is generated by server and sent to Personal Mobile of Customer. Hidden Markov Model is the statistical tools for engineer and scientists to solve various problems.