article · 2021
Optimised Privacy Model for Cloud Data
Henry Chima Ukwuoma, Arome Junior Gabriel, Aderonke Favour-Bethy Thompson, Boniface Kayode Alese
Cited by 2Abstract and details only
Abstract
Data security in the cloud has a been major issue upon the inception of cloud computing, frameworks have been proposed and implemented yet data breach prevails. With encryption being the dominant method of cloud data security, the advent of quantum computing implies that there is an urgent need to come up with an improved system that will provide adequate data security for both cloud and quantum computing. However, some cryptosystems will be rendered susceptible and obsolete although, some cryptosystems will stand the test of quantum computing. This paper proposes an optimised system for cloud data security using McEliece and NTRU cryptosystems for data security in cloud and quantum computing. While a of McEliece cryptosystem will be used for securing user credentials, a variant of NTRU will also be used for securing user data.
Cite this paper
Ukwuoma, H. C., Gabriel, A. J., Thompson, A. F.-B., & Alese, B. K. (2021). Optimised Privacy Model for Cloud Data. https://doi.org/10.1109/iccse51940.2021.9569395
Ukwuoma, Henry Chima, et al. “Optimised Privacy Model for Cloud Data.” vol. 5, 2021, pp. 267–69, https://doi.org/10.1109/iccse51940.2021.9569395.
Ukwuoma, Henry Chima, Arome Junior Gabriel, Aderonke Favour-Bethy Thompson, and Boniface Kayode Alese. 2021. “Optimised Privacy Model for Cloud Data.” https://doi.org/10.1109/iccse51940.2021.9569395.
Ukwuoma, H.C. et al. (2021) ‘Optimised Privacy Model for Cloud Data’. Available at: https://doi.org/10.1109/iccse51940.2021.9569395.
@article{ukwuoma2021optimised,
title = {{Optimised Privacy Model for Cloud Data}},
author = {Ukwuoma, Henry Chima and Gabriel, Arome Junior and Thompson, Aderonke Favour-Bethy and Alese, Boniface Kayode},
volume = {5},
pages = {267--269},
year = {2021},
doi = {10.1109/iccse51940.2021.9569395}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.