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Privacy preserving security using biometrics in cloud computing

dc.contributor.authorKumar S.; Singh S.K.; Singh A.K.; Tiwari S.; Singh R.S.
dc.date.accessioned2025-05-24T09:31:59Z
dc.description.abstractCloud 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 andmanagement of sensitive information (data) are big challenge tomaintain 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 privacypreservation 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. © Springer Science+Business Media New York 2017.
dc.identifier.doihttps://doi.org/10.1007/s11042-017-4966-5
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/17590
dc.relation.ispartofseriesMultimedia Tools and Applications
dc.titlePrivacy preserving security using biometrics in cloud computing

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