A combined framework for data classification on data confidentiality levels for hybrid cloud storage using hybrid chaotic maps

Authors

  • Bharath Kumar Rama, Dr. S. Thaiyalnayaki

Keywords:

Chaotic maps, cloud computing, data classification, Logistic map, Tent map

Abstract

Cloud storage plays a pivotal role in modern data management yet requires robust security solutions to defend againstpotential vulnerabilities. Researchers behind this study focus on solving encryption challenges in hybrid cloud storage throughadaptable encryption techniques due to the need for customized protection of various data confidentiality levels. The research introduces an integrated framework that uses hybrid chaotic maps 

References

Shukla, D.K.; Dwivedi, V.K.; Trivedi, M.C. Encryption algorithm in cloud computing. Mater. Today Proc. 2020, 37, 1869–1875.

Yahia, H.S.; Zeebaree, S.R.M.; Sadeeq, M.A.M.; Salim, N.O.M.; Kak, S.F.; Al-Zebari, A.; Salih, A.A.; Hussein, H.A. Comprehensive survey for cloud computing based nature-inspired algorithms optimization scheduling. Asian J. Res. Comput. Sci. 2021, 1–16.

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Published

2024-08-30

How to Cite

Bharath Kumar Rama, Dr. S. Thaiyalnayaki. (2024). A combined framework for data classification on data confidentiality levels for hybrid cloud storage using hybrid chaotic maps. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7685–7694. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4833

Issue

Section

Articles