A Transaction Pattern Generation Tool (TPGT) for Prediction of Online Financial Transactions

Abstract

ABSTRACT
The Internet all over the world is growing rapidly. It has given rise to new opportunities in every field we can think of – be it entertainment, business, sports or education. There are two sides to a coin. Internet also has its own disadvantages. One of the major disadvantages is cyber crime – illegal activity committed on the Internet. The Internet, along with its disadvantages, has also exposed us to security risks that come with connecting to a large network. Computers today are being misused for illegal activities like e-mail espionage, credit card frauds, spasms, software piracy and so on, which invade our privacy and offend our senses. Criminal activities in the cyberspace are on the rise. The transaction pattern generation tool (TPGT) will generate the patterns (parameters) based on them historical data stored in the data warehouse. TPGT is implemented in Oracle 9i. It generates more than 60 parameters. All the patterns generated by TPGT will collectively decide the purchasing behavior of the card holder. These patterns are very useful for verifying the current transaction performed by the card holder online. This tool is used to decide the sensitivity of the current online transaction performed by the customer by providing patterns to fraud detection system (FDS). Then, FDS is able to predict the current online transaction by monitoring how far or close the transaction is to all the past transactions.

Keywords: Data warehouse, cyber crime, credit card, FDS