Study on Distributed Multi-Level Security Scheme For Cloud Computing

Cloud computing seems to be a scalable and realistic distributed computing platform that delivers resources as a service. One of the major difficulties impeding cloud computing development is data security in the cloud. The security vulnerabilities in cloud computing and other cloud services slow do...

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Bibliographic Details
Published in:	2023 International Conference on Inventive Computation Technologies (ICICT) pp. 1052 - 1057
Main Authors:	Sathishkumar, G, Siva, P, Anto Maria Joseph, D, Santhosh, R., Reshma, R.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26-04-2023
Subjects:	Cloud computing Data breach Data protection Distributed Multi-Level Scheme Encryption Energy consumption Industries OpenStack Resource Sharing Security Three-dimensional displays
Online Access:	Get full text
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Summary:	Cloud computing seems to be a scalable and realistic distributed computing platform that delivers resources as a service. One of the major difficulties impeding cloud computing development is data security in the cloud. The security vulnerabilities in cloud computing and other cloud services slow down cloud computing growth and difficulties with data protection and privacy. In this new context, cloud service customers must be cautious about data breaches. This article studies a solution to current diverse security challenges that have arisen as a result of the service demonstrating that the offered methods are provably safe and very efficient. The solution comprises a distributed multi-level security scheme for processing the information involved in cloud computing. The proposed scheme evaluates the most significant encryption techniques generally used in various industries like AES (Advanced Encryption Standard), Blowfish, 3DES (Data Encryption Standard), CAST128, and RC4 (Rivest Cipher 4). The proposed model with these encryption techniques ensure minimal energy consumption in cloud computing with maximum speed. Moreover, to increase the security of the data, various cryptographical algorithms are applied, analyzed, and compared in an OpenStack environment.
ISSN:	2767-7788
DOI:	10.1109/ICICT57646.2023.10134363