Design and Implementation of a Credit Card Fraud Detection System
All over the world, the most accepted payment mode is via credit card for both online and offline payments in today’s world, it helps implement the cashless policy for shopping at every shop across the country. It is the most convenient method to do shopping on the internet, and also for paying utility bills etc. Hence, increasing the risks of credit card fraud transaction. In the existing manual credit card fraud detection business processing system, fraudulent transaction will be detected after transaction is done. It has become very difficult to find out fraudulent and regarding loses will be barred by issuing authorities. In this research, the researcher has proposed to design and implement a credit card fraud detection system developed using HTML, CSS and PHP.
1.1 BACKGROUND OF THE STUDY
In our day to day life, online transactions are increased to purchase goods and services. According to Nielsen study conducted in 2007-2008, 28 of the world’s total population has been using internet. 85 of these people has used internet to make online shopping and the rate of making online purchasing has increased by 40 from 2005 to 2008. The most common method of payment for online purchase is credit card. In developed countries and also in developing countries to some extent ,credit card is most acceptable payment mode for online and offline transaction. It can give financial loses to issuing authorities. In the second method purchasing i.e.
Online, these transactions generally happen on telephone or internet and to make this kind of transaction, the user will need some important information about a credit card (such as credit card number, validity, CVV number, name of card holder).
In our daily lives, credit cards are used for purchasing goods and services with the help of virtual card for online transaction or physical card for offline transaction. In a physical-card based purchase, the cardholder presents his card physically to a merchant for making a payment. To carry out fraudulent transactions in this kind of purchase, an attacker has to steal the credit card. If the cardholder does not realize the loss of card, it can lead to a substantial financial loss to the credit card company. In online payment mode, attackers need only little information for doing fraudulent transaction (secure code, card number, expiration date etc.). In this purchase method, mainly transactions will be done through Internet or telephone. To commit fraud in these types of purchases, a fraudster simply needs to know the card details. Most of the time, the genuine cardholder is not aware that someone else has seen or stolen his card information. The only way to detect this kind of fraud is to analyze the spending patterns on every card and to figure out any inconsistency with respect to the “usual” spending patterns. Fraud detection based on the analysis of existing purchase data of cardholder is a promising way to reduce the rate of successful credit card frauds. Since humans tend to exhibit specific behaviorist profiles, every Card holder can be represented by a set of patterns containing information about the typical purchase category, the time since the last purchase, the amount of money spent, etc.
Deviation from such patterns is a potential threat to the system.
1.2 STATEMENT OF THE PROBLEM
It has already been mentioned that the losses of a credit card fraud can affect all consumers, merchants and issuing banks. Therefore, it is important to establish techniques for detecting and preventing credit card fraud. This research contains a variety of techniques which can be used to build fraud detection systems. Understanding the characteristics of all those techniques can be a tedious task. A technique which promises a high predictive accuracy may be an appealing candidate to be used in the fraud detection system. However, there are various different parameters that need to be considered before deciding which technique best suits the needs of a particular situation. And also as all the transaction is maintained in a log. And also now a day’s lot of online purchase are made so we don’t know the person how is using the card online, we just capture the IP address for verification purpose. So there is a need to develop a system to fight cybercrime and to aid in investigating the fraud. To avoid the entire above disadvantage we propose the system to detect the fraud in a best and easy way.
1.3 AIMS AND OBJECTIVE OF THE STUDY
This research aims at the Design and Implementation of a credit card fraud detection system to prevent credit card fraud.
The following are the objectives of the study:
1. Develop a system to keep record of every fraudulent credit card transaction online.
2. A system to easily detect a stolen credit card.
3. To easily track and report fraudulent transactions to relevant agency.
SCREEN SHOTS OF THE APPLICATION
1.4 SCOPE OF THE STUDY
The scope of the research is focused on implementing a credit card fraud detection system to compact the increasing cyber-crimes faced by our country.
1.5 DEFINITION OF TERMS
Credit Card: A credit card is a thin rectangular slab of plastic issued by a financial company, that lets cardholders borrow funds with which to pay for goods and services.
Fraudulent: Obtained, done by, or involving deception, especially criminal deception.
Verification: The process of establishing the truth, accuracy, or validity of something.
Consumer: A person who purchases goods and services for personal use.
Transaction: An instance of buying or selling something.
Purchase: Acquire (something) by paying for it; buy.