Author(s): P.Gayathiri, M.Punithavalli

In modern retail market environment e-commerce has rapidly gained a lot of attention and also provides instantaneous transactions. Nowadays credit card frauds are increasing day by day due to the development of information technology around the world. This paper focus on K-Nearest Neighbor Euclidean distance can categorize the data whether the transaction data is fraud or genuine. The geo location data track the customer behavior is help to reduce the fraud for online merchants. IP Geo Location implement in K-Nearest Neighbor and analysis of result given the higher performance accuracy.