12/3/2023 0 Comments Iota tangle chart![]() E-health is the term often used exchangeably with telemedicine and telehealth. Consequently, sharing of healthcare data, in the life of patients and users, has become ubiquitous transforming healthcare from digital to intelligent. In particular, the emergence of IIoT has further evolved e-Health by facilitating the development of connected healthcare systems which can significantly improve data connectivity, visibility, and interoperability leading to improved quality of service delivered to patients. More recently, the industrial internet of things (IIoT) has emerged as a disruptive computing paradigm with applications across various domains such as smart cities, manufacturing, and healthcare. Computing infrastructure is omnipresent within healthcare facilities. Healthcare has evolved significantly in recent years primarily due to the advancements in and increasing adoption of technology in healthcare processes such as data collection, storage, diagnostics, and treatment. Further, we have performed the evaluation and analysis of data communication against the metrics of encryption and efficiency in transaction time. In particular, we use masked authenticated messaging (MAM) over the Tangle to achieve secure data sharing within a healthcare system and provide a proof-of-concept of applying the proposed approach for securing healthcare data in a connected IIoT environment. ![]() In this paper, we investigate the use of distributed ledger technologies (DLT) to address such security concerns for emerging healthcare systems. In particular, during the front-end and back-end data transfer in health information exchange (HIE) there exist a security risk in term of confidentiality, integrity, authentication and access control of the data due to the limited capabilities of IoT devices involved. However, such technological advancements come with their perils-there are growing concerns with regards to the security and privacy of healthcare data especially when collected, shared, and processed using cutting-edge connected sensor devices affecting the adoption of next-generation e-healthcare systems. The emergence of the industrial internet of things (IIoT) has further evolved e-Health by facilitating the development of connected healthcare systems which can significantly improve data connectivity, visibility, and interoperability leading to improved quality of service delivered to patients.
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