Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies

Jibran Saleem; Umar Raza; William Holderbaum

doi:10.62762/TIS.2024.993235

Volume 1, Issue 3, ICCK Transactions on Intelligent Systematics

Volume 1, Issue 3, 2024

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ICCK Transactions on Intelligent Systematics, Volume 1, Issue 3, 2024: 127-144

Free to Read | Review Article | 21 October 2024

Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies

Jibran Saleem 1

Umar Raza 1 *

William Holderbaum 1 *

1 Manchester Metropolitan University, Manchester, United Kingdom

* Corresponding Authors: Umar Raza, [email protected] ; William Holderbaum, [email protected]

DOI: 10.62762/TIS.2024.993235

ARK: ark:/57805/tis.2024.993235

Received: 19 September 2024, Accepted: 22 September 2024, Published: 21 October 2024

Cited by: 4 (Source: Web of Science), 4 (Source: ), 4 (Source: Google Scholar)

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Abstract

The sharing of data and private information has been greatly improved by Industry 4.0's broad usage of cloud technologies. In their quest to improve their services, many firms have made automation and effective authentication a priority. As a result, in Industry 4.0, Attribute-Based Encryption (ABE) and Attribute-Based Authentication (ABA) have established themselves as dependable models for data sharing across cloud environments. For difficult situations like fine-grained access control and secure authentication, these models offer practical answers. Organizations can utilize ABA to specifically authenticate people based on their attributes, ensuring appropriate and safe access to critical data. Despite the significance of ABE and ABA within Industry 4.0 and the wide range of applications that they have, systematic and thorough studies that include all variations of these models, as well as their historical and present condition, are lacking in the literature. This paper offers a complete and organized evaluation of works on Industry 4.0 by ABE and ABA. Our study's methodology, findings, and suggested follow-up work will advance the field of ABE and ABA research and improve the safety of data sharing in Industry 4.0. Organizations working within Industry 4.0 can improve the security of their cloud-based systems by integrating attribute-based authentication mechanisms and machine learning, making sure that only vetted individuals have access to sensitive data. ABE and ABA architectures in safe data-sharing situations within Industry 4.0, as well as the potential of ABE and ABA deployment in the context of the most recent technical breakthroughs, will also be better understood by researchers and practitioners with the aid of this study.

Graphical Abstract

Keywords

industry 4.0

cybersecurity

cloud computing

ABA

ABE

Data Availability Statement

Not applicable.

Funding

This work was supported without any funding.

Conflicts of Interest

The authors declare no conflicts of interest.

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Not applicable.

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APA Style

Saleem, J., Raza, U., & Holderbaum, W. (2024). Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies. ICCK Transactions on Intelligent Systematics, 1(3), 127–144. https://doi.org/10.62762/TIS.2024.993235

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TY  - JOUR
AU  - Saleem, Jibran
AU  - Raza, Umar
AU  - Holderbaum, William
PY  - 2024
DA  - 2024/10/21
TI  - Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies
JO  - ICCK Transactions on Intelligent Systematics
T2  - ICCK Transactions on Intelligent Systematics
JF  - ICCK Transactions on Intelligent Systematics
VL  - 1
IS  - 3
SP  - 127
EP  - 144
DO  - 10.62762/TIS.2024.993235
UR  - https://www.icck.org/article/abs/TIS.2024.993235
KW  - industry 4.0
KW  - cybersecurity
KW  - cloud computing
KW  - ABA
KW  - ABE
AB  - The sharing of data and private information has been greatly improved by Industry 4.0's broad usage of cloud technologies. In their quest to improve their services, many firms have made automation and effective authentication a priority. As a result, in Industry 4.0, Attribute-Based Encryption (ABE) and Attribute-Based Authentication (ABA) have established themselves as dependable models for data sharing across cloud environments. For difficult situations like fine-grained access control and secure authentication, these models offer practical answers. Organizations can utilize ABA to specifically authenticate people based on their attributes, ensuring appropriate and safe access to critical data. Despite the significance of ABE and ABA within Industry 4.0 and the wide range of applications that they have, systematic and thorough studies that include all variations of these models, as well as their historical and present condition, are lacking in the literature. This paper offers a complete and organized evaluation of works on Industry 4.0 by ABE and ABA. Our study's methodology, findings, and suggested follow-up work will advance the field of ABE and ABA research and improve the safety of data sharing in Industry 4.0. Organizations working within Industry 4.0 can improve the security of their cloud-based systems by integrating attribute-based authentication mechanisms and machine learning, making sure that only vetted individuals have access to sensitive data. ABE and ABA architectures in safe data-sharing situations within Industry 4.0, as well as the potential of ABE and ABA deployment in the context of the most recent technical breakthroughs, will also be better understood by researchers and practitioners with the aid of this study.
SN  - 3068-5079
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -

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@article{Saleem2024Transformi,
  author = {Jibran Saleem and Umar Raza and William Holderbaum},
  title = {Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies},
  journal = {ICCK Transactions on Intelligent Systematics},
  year = {2024},
  volume = {1},
  number = {3},
  pages = {127-144},
  doi = {10.62762/TIS.2024.993235},
  url = {https://www.icck.org/article/abs/TIS.2024.993235},
  abstract = {The sharing of data and private information has been greatly improved by Industry 4.0's broad usage of cloud technologies. In their quest to improve their services, many firms have made automation and effective authentication a priority. As a result, in Industry 4.0, Attribute-Based Encryption (ABE) and Attribute-Based Authentication (ABA) have established themselves as dependable models for data sharing across cloud environments. For difficult situations like fine-grained access control and secure authentication, these models offer practical answers. Organizations can utilize ABA to specifically authenticate people based on their attributes, ensuring appropriate and safe access to critical data. Despite the significance of ABE and ABA within Industry 4.0 and the wide range of applications that they have, systematic and thorough studies that include all variations of these models, as well as their historical and present condition, are lacking in the literature. This paper offers a complete and organized evaluation of works on Industry 4.0 by ABE and ABA. Our study's methodology, findings, and suggested follow-up work will advance the field of ABE and ABA research and improve the safety of data sharing in Industry 4.0. Organizations working within Industry 4.0 can improve the security of their cloud-based systems by integrating attribute-based authentication mechanisms and machine learning, making sure that only vetted individuals have access to sensitive data. ABE and ABA architectures in safe data-sharing situations within Industry 4.0, as well as the potential of ABE and ABA deployment in the context of the most recent technical breakthroughs, will also be better understood by researchers and practitioners with the aid of this study.},
  keywords = {industry 4.0, cybersecurity, cloud computing, ABA, ABE},
  issn = {3068-5079},
  publisher = {Institute of Central Computation and Knowledge}
}

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