Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-level Cloud Security with Encryption Using Bio-metric Authentication in Decentralized Network

  • 期刊论文

  • 发表日期：

    2026年4月16日

查看全文
  • S. Shahul Hammed,
  • S. Pavalarajan,
  • C. Preethi,
  • K. Haripriya

摘要

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.