Data Repossession by Optimized Blow Fish Algorithm In Ml and Multistage Authentication in Cloud

Authors

  • Mohammed Azeem Uddin, Mohd Kaif, Mohammed Abdul Hai Zubair, Mohammed Rahmat Ali

DOI:

https://doi.org/10.17762/msea.v72i1.2356

Abstract

Cloud computing has matured, and a diverse range of cloud service providers are available. Security issues continue to receive a lot of attention. Concerns regarding privacy and security frequently pose a serious obstacle to users' acceptance of cloud computing methods and the benefits they provide over earlier systems. In a cloud-based setting, biometric technologies can present some challenges related to the administration of biometric data because of privacy laws and the requirement to trust cloud providers. Biometric methods are increasingly the core component of a wide range of guarantee identification as well as private identification solutions. In this research, we present a crypto biometric solution for computing in the cloud that solves those issues without exposing any private biometric data.

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Published

2023-01-12

How to Cite

Mohammed Azeem Uddin, Mohd Kaif, Mohammed Abdul Hai Zubair, Mohammed Rahmat Ali. (2023). Data Repossession by Optimized Blow Fish Algorithm In Ml and Multistage Authentication in Cloud. Mathematical Statistician and Engineering Applications, 72(1), 1360–1366. https://doi.org/10.17762/msea.v72i1.2356

Issue

Section

Articles