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Secure biometric authentication with de-duplication on distributed cloud storage.

Vinoth Kumar M1, K Venkatachalam2, Prabu P3

  • 1Department of Computer Science and Engineering, Anna University, University College of Engineering Dindigul, Tamilnadu, India.

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|August 17, 2021
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Summary
This summary is machine-generated.

This study introduces a biometric authentication scheme using a novel bio-key generation method to enhance cloud security and reduce data redundancy. The proposed system offers improved data integrity and access control for cloud-distributed environments.

Keywords:
Cloud computingDynamic speed scaling algorithmEIoTEdge computingEnergyIoT

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Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • Cloud computing offers scalable and cost-efficient data storage and services.
  • Existing cloud storage faces challenges with data integrity, security, and unauthorized access.
  • Data distribution in the cloud leads to redundancy and security vulnerabilities.

Purpose of the Study:

  • To propose a biometric authentication scheme for secure access in cloud environments.
  • To alleviate data redundancy and enhance data security in cloud storage.
  • To introduce a novel bio-key generation technique for user authentication.

Main Methods:

  • A cryptographic technique is employed to generate a unique bio-key for authentication.
  • A Gabor filter combined with XOR operations is used for bio-key generation and encryption.
  • The proposed scheme integrates distributed security and encryption to prevent data deduplication.
  • Performance is evaluated against existing methods like convergent encryption (CE) and secure de-duplication scheme (SDS).

Main Results:

  • The proposed biometric authentication scheme effectively reduces data redundancy.
  • It ensures secure access by authenticating users through a generated bio-key.
  • The method prevents data deduplication in the cloud, enhancing security.
  • Comparative analysis indicates lower computation and communication costs than existing schemes.

Conclusions:

  • The developed biometric authentication scheme provides a secure and efficient solution for cloud environments.
  • It successfully addresses data redundancy and security concerns in cloud storage.
  • The proposed method offers a promising approach for enhancing cloud data management and access control.