TY - JOUR
T1 - IoT-enabled healthcare systems using block chain-dependent adaptable services
AU - Arul, Rajakumar
AU - Alroobaea, Roobaea
AU - Tariq, Usman
AU - Almulihi, Ahmed H.
AU - Alharithi, Fahd S.
AU - Shoaib, Umar
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021.
PY - 2024/2
Y1 - 2024/2
N2 - Internet of Things (IoT) deployed healthcare systems to provide ubiquitous services and assistance for the end-users/patients through their handheld devices/user equipment. The processing of sensitive medical information involves the transfer of effective and timely healthcare services without taking rest. In this article, adaptable service compliance (BASC) is implemented for blockchain-reliant purposes to prevent non-dormant healthcare services. The approach proposed is reliable in overcoming dormancy problems when it comes to accessing and providing end-users with health information. This proposed compliance exploits the type of user assistance requirement in the fore-hand. A distributed ledger does not require a central authority to monitor manipulation, and allows a de-centralized dataset to function safely. Based on the requirement, the distributed ledger accessible at ease is selected, and the information is shared with the end-user. In this method, the compliance is valid until the user’s requirement is fulfilled by validating the integrity of the transmitted data. For identifying the accessibility of the available ledger, the backpropagation learning method is used to pass the backward pass to correct the weight vector input variables. The output with learning consists of the verification of affordability, and the background verification verifies the data integrity. The truthfulness inability triggers a fresh outlook for information sharing that is visible from the succeeding ledger. This helps to prevent healthcare services failure, postponements in service, and improve the aid’s honesty. In addition, improved network access is achieved at various intervals.
AB - Internet of Things (IoT) deployed healthcare systems to provide ubiquitous services and assistance for the end-users/patients through their handheld devices/user equipment. The processing of sensitive medical information involves the transfer of effective and timely healthcare services without taking rest. In this article, adaptable service compliance (BASC) is implemented for blockchain-reliant purposes to prevent non-dormant healthcare services. The approach proposed is reliable in overcoming dormancy problems when it comes to accessing and providing end-users with health information. This proposed compliance exploits the type of user assistance requirement in the fore-hand. A distributed ledger does not require a central authority to monitor manipulation, and allows a de-centralized dataset to function safely. Based on the requirement, the distributed ledger accessible at ease is selected, and the information is shared with the end-user. In this method, the compliance is valid until the user’s requirement is fulfilled by validating the integrity of the transmitted data. For identifying the accessibility of the available ledger, the backpropagation learning method is used to pass the backward pass to correct the weight vector input variables. The output with learning consists of the verification of affordability, and the background verification verifies the data integrity. The truthfulness inability triggers a fresh outlook for information sharing that is visible from the succeeding ledger. This helps to prevent healthcare services failure, postponements in service, and improve the aid’s honesty. In addition, improved network access is achieved at various intervals.
KW - Backpropagation learning
KW - Blockchain
KW - Healthcare
KW - IoT
KW - Service accessibility
UR - http://www.scopus.com/inward/record.url?scp=85108154362&partnerID=8YFLogxK
U2 - 10.1007/s00779-021-01584-7
DO - 10.1007/s00779-021-01584-7
M3 - Article
AN - SCOPUS:85108154362
SN - 1617-4909
VL - 28
SP - 43
EP - 57
JO - Personal and Ubiquitous Computing
JF - Personal and Ubiquitous Computing
IS - 1
ER -