securing financial trasactions using hmm and location based service.
Purval kharat,Ankush bhat,Rohitwattal,Yogesh kamble.
Published in International Journal of Advanced Research in Business Management and Administration
ISSN: 2348 -2354 Impact Factor:1.48 Volume:1 Issue:1 Year: 13 April,2015 Pages:154-160
Abstract
ATMs have brought so much relief to the financial world. Various problems were solved with the advent of these machines ranging from keeping the banking hall free of traffic with its attendant issues. Gone are the days of maintaining long queues in the banking hall which made the work of bankers more difficult thus leading to all forms of errors. Even to customers, having to leave the comfort of their homes for financial transactions before bankers close for the day’s business is a major problem solved by Automated Teller Machines. However, as man begins to realize the gains of technology brought about by this machine to supplement human tellers, little did one know that the joy shall be short lived by the various sharp practices leading to financial losses. As banks are losing, so are the customers. News Media are filled with various forms of complaints on how users are losing money to fraudsters. Some have vowed never to come near usage of various cards – debit, credit or prepaid – local or international. The problem may even go as deep as engaging in legal battle between banks and their customers. The need to find a lasting solution is the main focus of this project
Kewords
Hidden Markov Model ,online transaction, Ecommerce, Clustering ,location based services.
Reference
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