A SECURE ARCHITECTURE INVOKING FINGERPRINT, IRIS, DATA HIDING, ENCRYPTION TECHNIQUES FOR M-COMMERCE USERS

Communication Engineering

This project delivers value added services to existing customers and creates new market opportunities. However, establishing a secure m-commerce platform that offers high level of service can be challenging. We propose a biometric-based authentication protocol with secure PIN distribution targeted at m-commerce applications. And a watermark is embedded in the captured biometric images. The embedding key of watermark is generated from mobile device parameters and is shared with the central server. M-Identity combines the identity of the mobile device into the biometric images. Only the genuine owner whose biometric information captured by his/her registered mobile device can pass m-identity authentication. Fingerprint biometrics is taken as an example, to show how secure it works. Also PIN distribution architecture design enhances the secure m-commerce applications. Mobile commerce is an emerging trend. Mobile commerce provides exciting opportunities for users to perform shopping , order food , m-Payments etc. This increasing in trend leads to security threads. This project is focused on user authentication service provider authentication and security. Existing system used for mobile payment services in handled devices doesn’t involve biometric authentication. For IRIS recognition we use K-NN Classifier.

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