A Prototype Model of Zero-Trust Architecture Blockchain with EigenTrust-Based Practical Byzantine Fault Tolerance Protocol to Manage Decentralized Clinical Trials
Ashok Kumar Peepliwall, Hari Mohan Pandey, Surya Prakash, Anand A, Mahajan, Sudhinder Singh Chowhan, Vinesh Kumar, Rahul Sharma

TL;DR
This paper introduces a prototype zero-trust blockchain model with EigenTrust-based Byzantine Fault Tolerance for secure, decentralized clinical trials, integrating IoT devices to enhance data security and management.
Contribution
It presents a novel zero-trust architecture blockchain model using EigenTrust-based T-PBFT consensus and IoT integration for secure decentralized clinical trial data management.
Findings
Enhanced security and data integrity in DCTs.
Effective integration of IoT devices with blockchain.
Robust evaluation demonstrating system reliability.
Abstract
The COVID-19 pandemic necessitated the emergence of decentralized Clinical Trials (DCTs) due to patient retention, accelerate trials, improve data accessibility, enable virtual care, and facilitate seamless communication through integrated systems. However, integrating systems in DCTs exposes clinical data to potential security threats, making them susceptible to theft at any stage, a high risk of protocol deviations, and monitoring issues. To mitigate these challenges, blockchain technology serves as a secure framework, acting as a decentralized ledger, creating an immutable environment by establishing a zero-trust architecture, where data are deemed untrusted until verified. In combination with Internet of Things (IoT)-enabled wearable devices, blockchain secures the transfer of clinical trial data on private blockchains during DCT automation and operations. This paper proposes a…
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing
