IoT-enabled healthcare systems using block chain-dependent adaptable services

【Author】 Arul, Rajakumar; Alroobaea, Roobaea; Tariq, Usman; Almulihi, Ahmed H.; Alharithi, Fahd S.; Shoaib, Umar

【Source】PERSONAL AND UBIQUITOUS COMPUTING

【影响因子】

【Abstract】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.

【Keywords】Backpropagation learning; Blockchain; Healthcare; IoT; Service accessibility

【发表时间】2021

【收录时间】2022-01-02

【文献类型】

【主题类别】

--