Acta Scientific Computer Sciences

Review Article Volume 5 Issue 1

State-of-the-art in Cloud Computing Data Security

Saugat Singh and Gajendra Sharma*

School of Engineering, Department of Computer Science and Engineering, Kathmandu University, Dhulikhel, Kavre, Nepal

*Corresponding Author: Gajendra Sharma, School of Engineering, Department of Computer Science and Engineering, Kathmandu University, Dhulikhel, Kavre, Nepal.

Received: October 13, 2022; Published: December 26, 2022

Abstract

Increase in cloud users raise different issues in cloud computing. Among them one of the crucial issues is security. Due to the increase in users of cloud computing in several areas, the size of data stored in the cloud also increases drastically. Data Security in the cloud is raising challenges for Cloud Service Providers (CSP) and Cloud Service Consumer (CSC). There is a lot of research happening to make data secure in the cloud but researchers are still not able to set a standard requirement for data security in the cloud because of technological advancement and the use of the cloud in different fields and purposes. This paper is based on a review of the different state-of-the-art in cloud computing data security. Further, those approaches are analysed with security requirements for data security in cloud computing.

Keywords: Cloud Service Provider (CSP); Data Owner (DO); Service Level Agreement (SLA); Advanced Encryption Standard (AES)

References

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  6. Namasudra S., et al. “Towards DNA based data security in the cloud computing environment”. Computer Communications 151 (2020): 539-547.
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Citation

Citation: Saugat Singh and Gajendra Sharma. “State-of-the-art in Cloud Computing Data Security". Acta Scientific Computer Sciences 5.1 (2023): 115-123.

Copyright

Copyright: © 2023 Saugat Singh and Gajendra Sharma. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

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