Design of a Blockcdhain based Security Algorithm for IoT in Healthcare | IEEE Conference Publication | IEEE Xplore

Design of a Blockcdhain based Security Algorithm for IoT in Healthcare


Abstract:

Electronic health records (EHRs) are becoming increasingly popular in healthcare organisations as a way to save costs and improve efficiency by replacing paper-based reco...Show More

Abstract:

Electronic health records (EHRs) are becoming increasingly popular in healthcare organisations as a way to save costs and improve efficiency by replacing paper-based records. There are numerous advantages for patients, healthcare organisations, and healthcare professionals to having online access to patient records and transactions linked to diagnosis. However, it also poses severe privacy concerns over the patient's private data. Medical records can now be stored, accessed, and updated at any time and from any location thanks to the internet and its impact on the healthcare industry. Electronic Health Records (EHR) discrepancies and concerns about privacy and security should be addressed. The lack of consistency in EHR may have been the most serious problem, but it isn't the only one. The interoperability and privacy difficulties have already been addressed through the usage of decentralised online ledgers with blockchain-based systems. A Secure eHealth Framework based on a progressive temporal blockchain method is presented to overcome the aforementioned issues. As a result, the context-based smart contract helps to record medical data in a text format with temporal features and disseminate the data among all other peers as specified in the smart contract regulations Furthermore, the framework has the ability to address data concerns and deliver tamper-proof, secure transactions in the healthcare industry. RBAC and various system modules were put through their paces to see how well they worked with the Delegated Byzantine Fault Tolerance consensus algorithm (dBFT). The results suggest that the system is able to safely and effectively handle and disseminate EHRs.
Date of Conference: 28-29 April 2022
Date Added to IEEE Xplore: 18 July 2022
ISBN Information:
Conference Location: Greater Noida, India

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