Cover Image

Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow

In today’s digital healthcare landscape, numerous clinical institutions collaborate to enhance healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in healthcare collaboration, enabling the integration of diverse healthcare sources. The primary advantage is th...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammed, Mazin Abed, Lakhan, Abdullah, Abdulkareem, Karrar Hameed, Marhoon, Haydar Abdulameer, Nedoma, Jan, Martinek, Radek, Garcia-Zapirain, Begonya, Abd Ghani, Mohd Khanapi
Format: Article
Language:English
Published: Elsevier B.V. 2023
Online Access:http://eprints.utem.edu.my/id/eprint/28433/2/0071712022024115016705.pdf
http://eprints.utem.edu.my/id/eprint/28433/
https://www.sciencedirect.com/science/article/pii/S2542660523002512
https://doi.org/10.1016/j.iot.2023.100928
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.28433
record_format eprints
spelling my.utem.eprints.284332025-02-10T16:59:17Z http://eprints.utem.edu.my/id/eprint/28433/ Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow Mohammed, Mazin Abed Lakhan, Abdullah Abdulkareem, Karrar Hameed Marhoon, Haydar Abdulameer Nedoma, Jan Martinek, Radek Garcia-Zapirain, Begonya Abd Ghani, Mohd Khanapi In today’s digital healthcare landscape, numerous clinical institutions collaborate to enhance healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in healthcare collaboration, enabling the integration of diverse healthcare sources. The primary advantage is the improvement of healthcare treatments and the availability of services throughout the network. However, despite these benefits, there is room for improvement in addressing various security issues regarding collaboration among clinical healthcare institutions to meet data fusion requirements. The primary challenge lies in processing lung cancer workflow data fusion on heterogeneous nodes while ensuring security in fog cloud networks. As a result, security emerges as a critical issue in the digital healthcare system operating within this ubiquitous environment. We present the secure Blockchain Internet of Medical Things (BIoMT) architecture for lung cancer workflow data fusion processing in fog cloud networks. The BIoMT architecture introduces the Blockchain Data Fusion Secure (BDFS) algorithm framework, which consists of task scheduling and blockchain validation schemes. The study aims to minimize the makespan of the lung workflow tasks based on security and deadline constraints in fog and cloud networks. We consider security at an advanced level, where runtime ransomware attacks are also identified in fog and cloud networks. Simulation results demonstrate that BDFS outperforms all existing BIoMT architectures regarding workflow processing while adhering to the specified constraints. Overall, the BDFS algorithm presented in the BIoMT architecture provides an efficient and secure solution for lung cancer workflow data fusion in fog cloud networks, contributing to the advancement of digital healthcare systems in a ubiquitous environment. Elsevier B.V. 2023-12 Article PeerReviewed text en cc_by_nc_nd_4 http://eprints.utem.edu.my/id/eprint/28433/2/0071712022024115016705.pdf Mohammed, Mazin Abed and Lakhan, Abdullah and Abdulkareem, Karrar Hameed and Marhoon, Haydar Abdulameer and Nedoma, Jan and Martinek, Radek and Garcia-Zapirain, Begonya and Abd Ghani, Mohd Khanapi (2023) Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow. Internet of Things, 24. pp. 1-15. ISSN 2542-6605 https://www.sciencedirect.com/science/article/pii/S2542660523002512 https://doi.org/10.1016/j.iot.2023.100928
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description In today’s digital healthcare landscape, numerous clinical institutions collaborate to enhance healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in healthcare collaboration, enabling the integration of diverse healthcare sources. The primary advantage is the improvement of healthcare treatments and the availability of services throughout the network. However, despite these benefits, there is room for improvement in addressing various security issues regarding collaboration among clinical healthcare institutions to meet data fusion requirements. The primary challenge lies in processing lung cancer workflow data fusion on heterogeneous nodes while ensuring security in fog cloud networks. As a result, security emerges as a critical issue in the digital healthcare system operating within this ubiquitous environment. We present the secure Blockchain Internet of Medical Things (BIoMT) architecture for lung cancer workflow data fusion processing in fog cloud networks. The BIoMT architecture introduces the Blockchain Data Fusion Secure (BDFS) algorithm framework, which consists of task scheduling and blockchain validation schemes. The study aims to minimize the makespan of the lung workflow tasks based on security and deadline constraints in fog and cloud networks. We consider security at an advanced level, where runtime ransomware attacks are also identified in fog and cloud networks. Simulation results demonstrate that BDFS outperforms all existing BIoMT architectures regarding workflow processing while adhering to the specified constraints. Overall, the BDFS algorithm presented in the BIoMT architecture provides an efficient and secure solution for lung cancer workflow data fusion in fog cloud networks, contributing to the advancement of digital healthcare systems in a ubiquitous environment.
format Article
author Mohammed, Mazin Abed
Lakhan, Abdullah
Abdulkareem, Karrar Hameed
Marhoon, Haydar Abdulameer
Nedoma, Jan
Martinek, Radek
Garcia-Zapirain, Begonya
Abd Ghani, Mohd Khanapi
spellingShingle Mohammed, Mazin Abed
Lakhan, Abdullah
Abdulkareem, Karrar Hameed
Marhoon, Haydar Abdulameer
Nedoma, Jan
Martinek, Radek
Garcia-Zapirain, Begonya
Abd Ghani, Mohd Khanapi
Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
author_facet Mohammed, Mazin Abed
Lakhan, Abdullah
Abdulkareem, Karrar Hameed
Marhoon, Haydar Abdulameer
Nedoma, Jan
Martinek, Radek
Garcia-Zapirain, Begonya
Abd Ghani, Mohd Khanapi
author_sort Mohammed, Mazin Abed
title Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
title_short Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
title_full Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
title_fullStr Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
title_full_unstemmed Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
title_sort secure blockchain assisted internet of medical things architecture for data fusion enabled cancer workflow
publisher Elsevier B.V.
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/28433/2/0071712022024115016705.pdf
http://eprints.utem.edu.my/id/eprint/28433/
https://www.sciencedirect.com/science/article/pii/S2542660523002512
https://doi.org/10.1016/j.iot.2023.100928
_version_ 1825166535109378048
score 13.244109

Similar Items