Novel Multi Security and Privacy Benchmarking Framework for Blockchain-Based IoT Healthcare Industry 4.0 Systems

Qahtan, Sarah; Sharif, Khaironi Yatim; Zaidan, A. A.; Alsattar, H. A.; Albahri, O. S.; Zaidan, B. B.; Zulzalil, Hazura; Osman, M. H.; Alamoodi, A. H.; Mohammed, R. T.

doi:10.1109/TII.2022.3143619

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Novel Multi Security and Privacy Benchmarking Framework for Blockchain-Based IoT Healthcare Industry 4.0 Systems

Author(s): Sarah Qahtan ¹ , Khaironi Yatim Sharif ¹ , A. A. Zaidan ² , H. A. Alsattar ³ , O. S. Albahri ³ , B. B. Zaidan ⁴ , Hazura Zulzalil ¹ , M. H. Osman ¹ , A. H. Alamoodi ³ , R. T. Mohammed ⁵

Publication date (Print): September 2022

Journal: IEEE Transactions on Industrial Informatics

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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A. A. Zaidan: (View ORCID Profile)

Journal

Title: IEEE Transactions on Industrial Informatics

Abbreviated Title: IEEE Trans. Ind. Inf.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1551-3203

ISSN (Electronic): 1941-0050

Publication date Created: September 2022

Publication date (Print): September 2022

Volume: 18

Issue: 9

Pages: 6415-6423

Affiliations

[1 ]Department of Software Engineering and Information Systems, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

[2 ]Faculty of Engineering and IT, British University in Dubia, Dubai, United Arab Emirates

[3 ]Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Malaysia

[4 ]Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Taiwan

[5 ]Department of Computer Science, Faculty of Science, Komar University of Science and Technology, Sulaymaniyah, Iraq

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DOI: 10.1109/TII.2022.3143619

SO-VID: 6e51cb78-f52a-4b71-9c50-c1f905d0e7f2

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https://doi.org/10.15223/policy-029

https://doi.org/10.15223/policy-037

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Novel Multi Security and Privacy Benchmarking Framework for Blockchain-Based IoT Healthcare Industry 4.0 Systems

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Most cited references 30

Spherical fuzzy sets and spherical fuzzy TOPSIS method

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A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection

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