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Privacy preserving security using biometrics in cloud computing

Authors:

Sanjay Kumar Singh,

Amit Kumar Singh,

Shrikant Tiwari,

Ravi Shankar SinghAuthors Info & Claims

Multimedia Tools and Applications, Volume 77, Issue 9

Pages 11017 - 11039

https://doi.org/10.1007/s11042-017-4966-5

Published: 01 May 2018 Publication History

Abstract

Cloud computing and the efficient storage provide new paradigms and approaches designed at efficiently utilization of resources through computation and many alternatives to guarantee the privacy preservation of individual user. It also ensures the integrity of stored cloud data, and processing of stored data in the various data centers. However, to provide better protection and management of sensitive information (data) are big challenge to maintain the confidentiality and integrity of data in the cloud computation. Thus, there is an urgent need for storing and processing the data in the cloud environment without any information leakage. The sensitive data require the storing and processing mechanism and techniques to assurance the privacy preservation of individual user, to maintain the data integrity, and preserve confidentiality. Face recognition has recently achieved advancements in the unobtrusive recognition of individuals to maintain the privacy-preservation in the cloud computing. This paper emphasizes on cloud security and privacy issues and provides the solution using biometric face recognition. We propose a biometrics face recognition approach for security and privacy preservation of cloud users during their access to cloud resources. The proposed approach has three steps: (1) acquisition of face images (2) preprocessing and extraction of facial feature (3) recognition of individual using encrypted biometric feature. The experimental results establish that our proposed recognition approach can ensure the privacy and security of biometrics data.

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Cited By

Saini PKumar K(2024)S-method: secure multimedia encryption technique in cloud environmentMultimedia Tools and Applications10.1007/s11042-023-15600-w83:3(8295-8309)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15600-w
Yu JYu XZhang LXie W(2023)A two-stage chaotic encryption algorithm for color face image based on circular diffusionMultimedia Tools and Applications10.1007/s11042-023-14804-482:26(40009-40038)Online publication date: 30-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14804-4
Verma GKanrar S(2022)A novel model to enhance the data security in cloud environmentMultiagent and Grid Systems10.3233/MGS-22036118:1(45-63)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/MGS-220361
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Privacy preserving security using biometrics in cloud computing
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
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cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 77, Issue 9

May 2018

1166 pages

ISSN:1380-7501

Issue’s Table of Contents

Copyright © Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 May 2018

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Cited By

Saini PKumar K(2024)S-method: secure multimedia encryption technique in cloud environmentMultimedia Tools and Applications10.1007/s11042-023-15600-w83:3(8295-8309)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15600-w
Yu JYu XZhang LXie W(2023)A two-stage chaotic encryption algorithm for color face image based on circular diffusionMultimedia Tools and Applications10.1007/s11042-023-14804-482:26(40009-40038)Online publication date: 30-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14804-4
Verma GKanrar S(2022)A novel model to enhance the data security in cloud environmentMultiagent and Grid Systems10.3233/MGS-22036118:1(45-63)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/MGS-220361
Pang L(2022)Research on the Privacy Security of Face Recognition TechnologyComputational Intelligence and Neuroscience10.1155/2022/78822942022Online publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1155/2022/7882294
Ren LZhang D(2022)A New Data Model for the Privacy Protection of Medical ImagesComputational Intelligence and Neuroscience10.1155/2022/58672152022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/5867215
Ren LZhang D(2022)A Privacy-Preserving Biometric Recognition System with Visual CryptographyAdvances in Multimedia10.1155/2022/10571142022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1057114
Ren LZhang D(2022)Toward Privacy Protection of Sensed Biometric Features with Extended Visual CryptographyMicroprocessors & Microsystems10.1016/j.micpro.2022.10454091:COnline publication date: 23-May-2022
https://dl.acm.org/doi/10.1016/j.micpro.2022.104540
Deep GSidhu JMohana R(2022)Insider threat prevention in distributed database as a service cloud environmentComputers and Industrial Engineering10.1016/j.cie.2022.108278169:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.cie.2022.108278
Yang YZhang QGao WFan CShu QYun H(2022)Design on Face Recognition System with Privacy Preservation Based on Homomorphic EncryptionWireless Personal Communications: An International Journal10.1007/s11277-021-09311-4123:4(3737-3754)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s11277-021-09311-4
Jasmine RJasper J(2022)A Privacy Preserving Based Multi-Biometric System for Secure Identification in Cloud EnvironmentNeural Processing Letters10.1007/s11063-021-10630-754:1(303-325)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s11063-021-10630-7
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