DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT Systems

Abstract

Today, internet and device ubiquity are paramount in individual, formal and societal considerations. Next generation communication technologies, such as Blockchains (BC), Internet of Things (IoT), cloud computing, etc. offer limitless capabilities for different applications and scenarios including industries, cities, healthcare systems, etc. Sustainable integration of healthcare nodes (i.e. devices, users, providers, etc.) resulting in healthcare IoT (or simply IoHT) provides a platform for efficient service delivery for the benefit of care givers (doctors, nurses, etc.) and patients. Whereas confidentiality, accessibility and reliability of medical data are accorded high premium in IoHT, semantic gaps and lack of appropriate assets or properties remain impediments to reliable information exchange in federated trust management frameworks. Consequently, We propose a Blockchain Decentralised Interoperable Trust framework (DIT) for IoT zones where a smart contract guarantees authentication of budgets and Indirect Trust Inference System (ITIS) reduces semantic gaps and enhances trustworthy factor (TF) estimation via the network nodes and edges. Our DIT IoHT makes use of a private Blockchain ripple chain to establish trustworthy communication by validating nodes based on their inter-operable structure so that controlled communication required to solve fusion and integration issues are facilitated via different zones of the IoHT infrastructure. Further, C implementation using Ethereum and ripple Blockchain are introduced as frameworks to associate and aggregate requests over trusted zones.

A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare

“…If medical sports data are leaked, rival sports team members might use these data to solicit illegal advantages. Therefore, medical data should be dealt with privately and securely transmitted over communication channels [123]. This important issue has been addressed in a great deal of prior research.…”

“…The above problems indicate that several difficulties exist in smart health care, though multimodal signals and several IoMT devices are being used. A simplified and easier fusion solution should be discussed to facilitate the general adoption of such smart health care [115] [123]. Below, we discuss some of these problems and potential solutions.…”

Analysis of factors affecting IoT-based smart hospital design

“…This technology includes machine learning (ML) and artificial intelligence (AI) integrated into the design and architecture of the entire system [31]. Some of the researches conducted in this area are blood pressure, heart-beat and glucose level [32][33][34], elderly healthcare [35], decentralized interoperable trust framework to enhances trustworthy factor (TF) estimation based on blockchain technology [36], estimation of under-five child mortality [37], and human activity recognition [38].…”

Symmetrical Model of Smart Healthcare Data Management: A Cybernetics Perspective

“…To manage the digital infrastructure and data management of healthcare, another study discusses the blockchain based secure data management and travel in an Internet of Things (IoT) environment [19]. In the current era of digitalization, the demand and significance of this type of methodology and work is very high.…”

“…Furthermore, conceptualizing these vulnerability points indicates that "variety" is the main difficulty in the management of healthcare infrastructure [16][17][18][19][20]. Variety, as a concept, means different states of the same thing.…”