Abstract :

The Rapid Adoption Of Cloud Computing Has Enabled Organizations To Store And Manage Large Volumes Of Sensitive Information Using Scalable And Cost-effective Infrastructure. However, Storing Biometric Data Such As Fingerprint Templates In Cloud Environments Introduces Significant Security And Privacy Concerns Due To The Risk Of Unauthorized Access And Identity Theft. This Paper Presents A Secure Crypto-biometric Authentication Framework Designed To Protect Biometric Templates While Maintaining Reliable User Verification In Cloud-based Systems. The Proposed Framework Employs A Hidden Markov Model (HMM) To Extract Distinctive Fingerprint Features, Followed By Principal Component Analysis (PCA) To Eliminate Redundant Information And Retain The Most Discriminative Features. The Selected Feature Vectors Are Transformed Into Encrypted Biometric Templates Using BCH Encoding And Cryptographic Key Generation Techniques Before Being Stored In The Cloud. A Gaussian Mixture Model (GMM) Is Subsequently Utilized To Train The Protected Biometric Representations And Support Accurate Authentication During The Verification Phase. Instead Of Comparing Raw Fingerprint Images, The System Performs Matching On Encrypted Templates, Thereby Preventing The Exposure Of Sensitive Biometric Information Even If Cloud Storage Is Compromised. Experimental Implementation Using A Fingerprint Dataset Demonstrates Successful Enrollment, Secure Template Generation, And Reliable Identity Verification While Significantly Enhancing Template Confidentiality And Resistance To Unauthorized Access. The Proposed Framework Provides An Effective Solution For Privacy-preserving Biometric Authentication In Cloud Computing Environments By Integrating Feature Optimization, Cryptographic Protection, And Statistical Pattern Recognition Into A Unified Security Architecture.

Published:

30-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1361-1367

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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