Optimal Witnessing of Healthcare IoT Data Using Blockchain Logging Contract
Mohammad Hossein Chinaei, Hassan Habibi Gharakheili, Vijay, Sivaraman

TL;DR
This paper presents a blockchain-based system enabling healthcare authorities to verify IoT sensor data through a privacy-preserving, cost-effective, and optimal witness selection scheme, demonstrated with real Wi-Fi traces.
Contribution
It introduces a novel blockchain and smart contract architecture for on-demand IoT data verification with optimized witness selection and cost minimization.
Findings
Verification error around 0.01% achieved
Cost of less than two dollars per hour for verification
System validated with real Wi-Fi data from a hospital environment
Abstract
Verification of data generated by wearable sensors is increasingly becoming of concern to health service providers and insurance companies. There is a need for a verification framework that various authorities can request a verification service for the local network data of a target IoT device. In this paper, we leverage blockchain as a distributed platform to realize an on-demand verification scheme. This allows authorities to automatically transact with connected devices for witnessing services. A public request is made for witness statements on the data of a target IoT that is transmitted on its local network, and subsequently, devices (in close vicinity of the target IoT) offer witnessing service. Our contributions are threefold: (1) We develop a system architecture based on blockchain and smart contract that enables authorities to dynamically avail a verification service for data…
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