Author : Prof. Dr. Prashant S. Dhotre and Mrunalee L. Dhone

Now each day the usage of credit cards has dramatically inflated. As grasp card will become the most well appreciated mode of payment for every on-line still as normal purchase, cases of fraud related to it place are rising that there are several opportunities for used of our account by unauthorized individual / Hackers consequently the know-how on your account may want to loss and customer should suffer via loss of cash, for these purpose grasp card fraud Detection System detects unauthorized character through applying protection at customer registration level by means of imposing gadget unauthorized character will get entry to the account information or if it’s try to access then account are going to be block. Proposed performs better way in terms of getting notified if fraud like transaction movement is detected. Also security of site at where transaction is being performed is also checked for keeping user safe from phishing sites.

Keywords- Machine Learning, support vector machine, naïve bias, Decision Tree