Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments

Saroj Mali

doi:doi:10.11648/j.iotcc.20241202.11

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Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments

Saroj Mali^*

Published in Internet of Things and Cloud Computing (Volume 12, Issue 2)

Received: 25 July 2023 Accepted: 24 July 2024 Published: 6 August 2024

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Abstract

There is increasing popularity of Big data and cloud computing in recent years, and it is offering both individuals and businesses a number of advantages. But as data volume and complexity rise, data security and privacy have become a serious problem. In order to safeguard sensitive data stored in the cloud from sophisticated cyberattacks, it is crucial to have strong security measures in place. Although multi-factor authentication (MFA) has gained popularity as a security mechanism, Because of the lack of in depth analysis of its efficacy in large data systems based in the cloud is not fully known. In order to determine if MFA is effective in large data environments based on the cloud, this study will examine how well it can defend against different types of cyberattacks. The study will analyze the benefits and drawbacks of MFA in this situation as well as the trade-offs that must be made between security and usability when putting this security measure into place. This study aims to evaluate the efficacy of MFA in cloud-based big data environments in order to offer insightful recommendations for the most effective ways to secure sensitive data in the cloud.

Published in	Internet of Things and Cloud Computing (Volume 12, Issue 2)
DOI	10.11648/j.iotcc.20241202.11
Page(s)	17-27
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cloud Computing, Big Data, Big Data Security, Multi Factor Authentication

References

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APA Style

Mali, S. (2024). Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments. Internet of Things and Cloud Computing, 12(2), 17-27. https://doi.org/10.11648/j.iotcc.20241202.11

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ACS Style

Mali, S. Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments. Internet Things Cloud Comput. 2024, 12(2), 17-27. doi: 10.11648/j.iotcc.20241202.11

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AMA Style

Mali S. Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments. Internet Things Cloud Comput. 2024;12(2):17-27. doi: 10.11648/j.iotcc.20241202.11

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@article{10.11648/j.iotcc.20241202.11,
  author = {Saroj Mali},
  title = {Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments
},
  journal = {Internet of Things and Cloud Computing},
  volume = {12},
  number = {2},
  pages = {17-27},
  doi = {10.11648/j.iotcc.20241202.11},
  url = {https://doi.org/10.11648/j.iotcc.20241202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20241202.11},
  abstract = {There is increasing popularity of Big data and cloud computing in recent years, and it is offering both individuals and businesses a number of advantages. But as data volume and complexity rise, data security and privacy have become a serious problem. In order to safeguard sensitive data stored in the cloud from sophisticated cyberattacks, it is crucial to have strong security measures in place. Although multi-factor authentication (MFA) has gained popularity as a security mechanism, Because of the lack of in depth analysis of its efficacy in large data systems based in the cloud is not fully known. In order to determine if MFA is effective in large data environments based on the cloud, this study will examine how well it can defend against different types of cyberattacks. The study will analyze the benefits and drawbacks of MFA in this situation as well as the trade-offs that must be made between security and usability when putting this security measure into place. This study aims to evaluate the efficacy of MFA in cloud-based big data environments in order to offer insightful recommendations for the most effective ways to secure sensitive data in the cloud.
},
 year = {2024}
}

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TY  - JOUR
T1  - Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments

AU  - Saroj Mali
Y1  - 2024/08/06
PY  - 2024
N1  - https://doi.org/10.11648/j.iotcc.20241202.11
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AB  - There is increasing popularity of Big data and cloud computing in recent years, and it is offering both individuals and businesses a number of advantages. But as data volume and complexity rise, data security and privacy have become a serious problem. In order to safeguard sensitive data stored in the cloud from sophisticated cyberattacks, it is crucial to have strong security measures in place. Although multi-factor authentication (MFA) has gained popularity as a security mechanism, Because of the lack of in depth analysis of its efficacy in large data systems based in the cloud is not fully known. In order to determine if MFA is effective in large data environments based on the cloud, this study will examine how well it can defend against different types of cyberattacks. The study will analyze the benefits and drawbacks of MFA in this situation as well as the trade-offs that must be made between security and usability when putting this security measure into place. This study aims to evaluate the efficacy of MFA in cloud-based big data environments in order to offer insightful recommendations for the most effective ways to secure sensitive data in the cloud.

VL  - 12
IS  - 2
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Author Information

Saroj Mali

School of Computer Science and Engineering, Central South University, Changsha, China

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Plain Text BibTeX RIS

APA Style

Mali, S. (2024). Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments. Internet of Things and Cloud Computing, 12(2), 17-27. https://doi.org/10.11648/j.iotcc.20241202.11

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ACS Style

Mali, S. Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments. Internet Things Cloud Comput. 2024, 12(2), 17-27. doi: 10.11648/j.iotcc.20241202.11

Copy | Download

AMA Style

Mali S. Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments. Internet Things Cloud Comput. 2024;12(2):17-27. doi: 10.11648/j.iotcc.20241202.11

Copy | Download

@article{10.11648/j.iotcc.20241202.11,
  author = {Saroj Mali},
  title = {Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments
},
  journal = {Internet of Things and Cloud Computing},
  volume = {12},
  number = {2},
  pages = {17-27},
  doi = {10.11648/j.iotcc.20241202.11},
  url = {https://doi.org/10.11648/j.iotcc.20241202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20241202.11},
  abstract = {There is increasing popularity of Big data and cloud computing in recent years, and it is offering both individuals and businesses a number of advantages. But as data volume and complexity rise, data security and privacy have become a serious problem. In order to safeguard sensitive data stored in the cloud from sophisticated cyberattacks, it is crucial to have strong security measures in place. Although multi-factor authentication (MFA) has gained popularity as a security mechanism, Because of the lack of in depth analysis of its efficacy in large data systems based in the cloud is not fully known. In order to determine if MFA is effective in large data environments based on the cloud, this study will examine how well it can defend against different types of cyberattacks. The study will analyze the benefits and drawbacks of MFA in this situation as well as the trade-offs that must be made between security and usability when putting this security measure into place. This study aims to evaluate the efficacy of MFA in cloud-based big data environments in order to offer insightful recommendations for the most effective ways to secure sensitive data in the cloud.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments

AU  - Saroj Mali
Y1  - 2024/08/06
PY  - 2024
N1  - https://doi.org/10.11648/j.iotcc.20241202.11
DO  - 10.11648/j.iotcc.20241202.11
T2  - Internet of Things and Cloud Computing
JF  - Internet of Things and Cloud Computing
JO  - Internet of Things and Cloud Computing
SP  - 17
EP  - 27
PB  - Science Publishing Group
SN  - 2376-7731
UR  - https://doi.org/10.11648/j.iotcc.20241202.11
AB  - There is increasing popularity of Big data and cloud computing in recent years, and it is offering both individuals and businesses a number of advantages. But as data volume and complexity rise, data security and privacy have become a serious problem. In order to safeguard sensitive data stored in the cloud from sophisticated cyberattacks, it is crucial to have strong security measures in place. Although multi-factor authentication (MFA) has gained popularity as a security mechanism, Because of the lack of in depth analysis of its efficacy in large data systems based in the cloud is not fully known. In order to determine if MFA is effective in large data environments based on the cloud, this study will examine how well it can defend against different types of cyberattacks. The study will analyze the benefits and drawbacks of MFA in this situation as well as the trade-offs that must be made between security and usability when putting this security measure into place. This study aims to evaluate the efficacy of MFA in cloud-based big data environments in order to offer insightful recommendations for the most effective ways to secure sensitive data in the cloud.

VL  - 12
IS  - 2
ER  -

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