ABSTRACT
Ecommerce is the buying and selling of merchandise and services taking place over the Internet, though it can happen over the intranet and private networks, and is a category of e-Business. Online transactions have their own needs for security, like preventing fraudsters from getting access to confidential information of existing customers at their website, or fudging data on credit cards to make large purchases. Or, there could be fraud merchants on the Internet selling goods that are non-existent defalcating money from genuine customers and causing money to disappear from bank accounts. Every year a lot of fraud cases for online transactions are reported. To secure the website against fraudsters, the current extortion location prototypes are utilized to check dealer respectability in ecommerce. In India, village folks are hesitant about making online transactions or using net banking suspicious about money transfers without handling the money physically, which can be regularized with a simple to deal with ecommerce framework taking input a range of data types. A new ecommerce model is proposed. This chapter aims to use and assess various knowledge strategies (e.g. Data mining and AI) to distinguish scams in electronic exchanges, all the more for MasterCard transactions on the web.
