Secure biometric authentication with de-duplication on distributed cloud storage

Kumar M. Vinoth, K. Venkatachalam, P. Prabu, Abdulwahab Almutairi*, Mohamed Abouhawwash

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

Cloud computing is one of the evolving fields of technology, which allows storage, access of data, programs, and their execution over the internet with offering a variety of information related services. With cloud information services, it is essential for information to be saved securely and to be distributed safely across numerous users. Cloud information storage has suffered from issues related to information integrity, data security, and information access by unauthenticated users. The distribution and storage of data among several users are highly scalable and cost-efficient but results in data redundancy and security issues. In this article, a biometric authentication scheme is proposed for the requested users to give access permission in a cloud-distributed environment and, at the same time, alleviate data redundancy. To achieve this, a cryptographic technique is used by service providers to generate the bio-key for authentication, which will be accessible only to authenticated users. A Gabor filter with distributed security and encryption using XOR operations is used to generate the proposed bio-key (biometric generated key) and avoid data deduplication in the cloud, ensuring avoidance of data redundancy and security. The proposed method is compared with existing algorithms, such as convergent encryption (CE), leakage resilient (LR), randomized convergent encryption (RCE), secure de-duplication scheme (SDS), to evaluate the de-duplication performance. Our comparative analysis shows that our proposed scheme results in smaller computation and communication costs than existing schemes.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalPeerJ Computer Science
Volume7
DOIs
StatePublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 M et al. All Rights Reserved.

Keywords

  • Artificial Intelligence
  • Cloud computing
  • Computer Networks and Communications
  • Computer Vision
  • Distributed and Parallel Computing
  • Dynamic speed scaling algorithm
  • EIoT
  • Edge computing
  • Energy
  • IoT
  • Security and Privacy

ASJC Scopus subject areas

  • General Computer Science

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