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Multi-level Cloud Security with Encryption Using Bio-metric Authentication in Decentralized Network
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AI
DOI：10.1007/s40998-026-01072-9.png)
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Abstract
En 中文
The Cloud computing concept is the most popular technology in recent times, since it makes it easy and affordable for individuals and businesses to store and share information. Biometric-based security includes ensuring that only authorized individuals have access to the data and safeguarding it from various risks and attacks. While recent biometric-enabled frameworks include encryption and blockchain technologies, existing methods depend on a single biometric templates and direct feature handling, which affects scalability and robustness of the system. In this paper, a multi-level cloud security blockchain attribute based encryption (MBABE) with fingerprint pattern extraction for multiple bio-key generation, Principal Component Analysis (PCA), hybrid key encryption and blockchain module. The utilization of PCA compression reduces transmission overhead. The findings demonstrate the proposed method attains effective scalability and better security. Also the computation complexity is lower, providing that runtime is reduced by 3.65% comparing with Ciphertext-Policy Attribute-Based Encryption (CPABE). The execution time for performing all stages has been reduced by 6.15% compared with other biometric authentication methods. The work achieves efficient energy conservation by reducing energy consumption by 6.67%. In addition, the findings show that better security (efficiency improved to 98%) reduced storage cost and fast verification are achieved.
Keywords:
Cloud storage
Bio-metric security
Multi-level bio-key
Data prediction and evaluation
Journal
I
IF:
1.4
Papers:
178
Citations:
0