The objective of the project is to fortify the security of online fingerprint authentication systems against privacy threats. By replacing deterministic encryption with a more secure homomorphic encryption method, the Secure e-finger scheme aims to protect users' biometric data from potential attacks. Additionally, it introduces a threshold-based protocol to manage user privileges and prevent excessive access. The project strives to achieve these goals with minimal impact on system efficiency and user convenience, ensuring a robust yet user-friendly security upgrade.
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.
Keyword: Fingerprint, Apply fingerprint, upload data, and cloud computing.
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H/W CONFIGURATION:
Processor - I3/Intel Processor
Hard Disk - 160GB
Key Board - Standard Windows Keyboard
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Monitor - SVGA
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S/W CONFIGURATION:
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Server side Script : HTML, CSS, Bootstrap & JS
Programming Language : Python
Libraries : Django, Pandas, Mysql.connector, Os, Smtplib, Numpy
IDE/Workbench : PyCharm
Technology : Python 3.6+
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