An Efficient Iris Authentication Usin G Chaos Theory-Based Cryptography for E-Commerce Transactions

E-commerce is an outcome of globalization and technology outbreak of 21st century. Increasingly, more products and services are sold over Internet; hence, there is a growing need for a combination of legislation and technical solutions to globally secure customer privacy.
Credit card fraud is one of the crimes especially when it is used for web-based transaction. In this paper, a technical solution using Iris authentication technique is proposed for protecting identity theft in e-commerce transactions because Iris patterns are unique to an individual. Further, this research proposes authentication of e-commerce users by using Iris biometric technique as one of the most secure biometric algorithms. Therefore, this research proposes a web-based architecture which uses a combination of Image Processing and secure transmission of customers’ Iris templates along with credit card details for decreasi ng credit card frauds over
Internet.

1. Introduction Shopping over the Internet is another alternative to shopping at a brick-and-mortar store. Credit cards are the primary means of payment for goods and services purchased online. By means of credit card, its information is transmitted over the Internet, which may not have the same level of security as phone, mail, or fax. Security issues are maybe the most important thing in online shopping. Methods to ensure secure online payment by credit card are therefore important to the success of shopping over the Internet. In online transaction with credit card, buyers want to be assured that the provided information about credit card won’t be abused or stolen (a possible fraud). Credit card fraud on the Internet is a more pervasive problem. Anybody who has access to a credit card number and expiration date can buy anything over the Internet. On the other hand, neither party can be certain of the other’s identity [1]. Credit cards were