Secure and Efficient Online Fingerprint Authentication Scheme Based on Cloud Computing

Project Code :TCMAPY1027

Objective

We propose the Secure e-finger scheme for biometric-based online fingerprint authentication, enhancing privacy protection against temporary fingerprint attacks while maintaining efficiency. Additionally, we introduce a threshold scheme based on biological characteristics to address excessive authority issues, ensuring secure and robust authentication.

Abstract

The e-Finga online fingerprint authentication system, while efficient, is vulnerable to privacy breaches due to its use of deterministic encryption. Researchers found that adversaries could potentially exploit this to steal fingerprint data. To enhance security, the Secure e-finger scheme was introduced, employing a more complex encryption method that still allows for quick computations and minimal communication overhead. This upgrade increases the client's running time slightly by 6% but offers a substantial improvement in privacy protection, effectively blocking the identified attack without sacrificing performance. Additionally, a threshold scheme is suggested to prevent excessive access rights for single users.

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Block Diagram

Specifications

H/W CONFIGURATION:

Processor - I3/Intel Processor

Hard Disk - 160GB

Key Board - Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

RAM - 8GB


S/W CONFIGURATION:

β€’ Operating System :  Windows 7/8/10

β€’ Server side Script :  HTML, CSS, Bootstrap & JS

β€’ Programming Language :  Python

β€’ Libraries :  Django, Pandas, Mysql.connector, Os, Smtplib, Numpy

β€’ IDE/Workbench :  PyCharm

β€’ Technology :  Python 3.6+

β€’ Server Deployment :  Xampp Server


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