Abstract: In this paper honey pot is used to detect the fraud when the online credit card purchasing. In computer terminology, a honeypot is a computer. Generally, a honeypot consists of data (for example we can use the network site) that appears to be a legitimate part of the site but is actually isolated and monitored. Also it seems to contain information or a resource of value to attackers, which are then blocked. It is similar to the police baiting of a criminal and then conducting undercover surveillance, and finally punishing the criminal, by this they could not escape from the police.[1] Nowadays there is lot of online credit card purchase are made, so we donít know the person how is using the card online, we just capture the IP address for verification purpose. IP addresses will be unique. So there need a help from the cyber-crime to investigate the fraud. To avoid the entire above disadvantage we propose the system to detect the fraud in a best and easy way.The credit card fraud detection features uses user behavior and location scanning to check for unusual patterns, but using the honeypot we can protect it from the fraud. These patterns include user characteristics such as user spending patterns as well as usual user geographic locations to verify his identity. If any unusual pattern is detected, the system requires revivification. Lot of troubles will be reduced. The message will be send to the user when the fraud detecting time, after that by opening the user system we can define the message(some one hacking our web page) from the server. The system analyses user credit card data for various characteristics. These characteristics include user country, usual spending of the procedures. It is Based upon the before the data of that user the system recognizes unusual patterns in the payment procedure in this system by the securing format. So now the system may be require the user to login the area again or even block the user for more than 3 invalid attempts the message will be display.

Keywords: IP address, geographic locations, computer terminology, honeypot.