Abstract

Protecting the sensitive information is paramount important in this digital world due to the vulnerable access by malicious users. Nowadays, the digital information theft is increasing in digital society. Furthermore, identifying and mitigating this kind of operation is a challenge. Biometric authentication based identity is playing vital role in securing most e-business. Authentication of traditional methods like identity documents and passwords are not enough to combat the identity theft or assign security. Identity of surrogate representations may also be easily forgotten, guessed, lost, shared or stolen. To overcome the security breaches, we have to ensure hustle free transactions which provides security and user friendliness for any electronic business. In this paper, an efficient biometrics based user identification has been introduced. This includes the features such as palm print, finger print and iris for providing more accurate personal identifications. The proposed system is most suitable for personal identification and it needs high security during online purchasing, net banking etc. Each individual biometric feature are evaluated and the matches are below 80%, the user will be authenticate by one time password. Otherwise, the transaction may get cancel automatically and security breach will be directed to server. The proposed biometric system is most trusted and secured so that the unauthorized user access can be prevented. Minutiae mapping is introduced to extract the finger, iris and palm print and RC4, DWT algorithm for encryption and hiding the information. The system has been implemented and tested with e-business applications and it gives very promising results against the test cases.

Full Text
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