Edge Computing and Blockchain-Based Data Security in IoMT

The Internet of Medical Things (IoMT), also known as healthcare IoT, consists of interconnected medical devices and applications that enable remote monitoring of patients with chronic conditions. In existing healthcare systems, data from IoMT devices is stored in the cloud for analysis. However, major challenges include ensuring data privacy and prioritising critical health information. Rapid processing and transmission of emergency health data to hospitals are crucial for timely care, while strict privacy measures are necessary to prevent risks like data breaches, fraud, and unauthorised access to medical services. To overcome these challenges, the proposed system implements Ethereum blockchain technology and an edge AI classification algorithm on data collected in real-time. Edge computing enables instant analysis, classification, and prioritisation of health data, minimising latency and facilitating quick decision-making. Simultaneously, blockchain technology ensures robust data privacy through a secure access control mechanism. Patient information is securely stored on the blockchain and accessed via an Aadhaar card number and unique tokens. These tokens enable role-based access control, allowing authorised individuals— like doctors, nurses, patients, and relatives—to view, update, or delete specific records as needed.

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Publication Details

Journal
International Journal of Online and Biomedical Engineering (iJOE)
Published
2025-05-15
DOI
https://doi.org/10.3991/ijoe.v21i06.54403
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Edge Computing and Blockchain-Based Data Security in IoMT

S Manasa, D. Sathya, S Veena, Sangamesh Ramesh Yankanchi
1 citations
International Journal of Online and Biomedical Engineering (iJOE)
IoT and Edge/Fog Computing
1.49
article

Edge Computing and Blockchain-Based Data Security in IoMT

S Manasa, D. Sathya, S Veena, Sangamesh Ramesh Yankanchi
article en
1 citations

Abstract

The Internet of Medical Things (IoMT), also known as healthcare IoT, consists of interconnected medical devices and applications that enable remote monitoring of patients with chronic conditions. In existing healthcare systems, data from IoMT devices is stored in the cloud for analysis. However, major challenges include ensuring data privacy and prioritising critical health information. Rapid processing and transmission of emergency health data to hospitals are crucial for timely care, while strict privacy measures are necessary to prevent risks like data breaches, fraud, and unauthorised access to medical services. To overcome these challenges, the proposed system implements Ethereum blockchain technology and an edge AI classification algorithm on data collected in real-time. Edge computing enables instant analysis, classification, and prioritisation of health data, minimising latency and facilitating quick decision-making. Simultaneously, blockchain technology ensures robust data privacy through a secure access control mechanism. Patient information is securely stored on the blockchain and accessed via an Aadhaar card number and unique tokens. These tokens enable role-based access control, allowing authorised individuals— like doctors, nurses, patients, and relatives—to view, update, or delete specific records as needed.

International Journal of Online and Biomedical Engineering (iJOE)Vol. 21(06)
D A Pandu Memorial RV Dental College and Hospital (IN)
Openalex Percentile: Top 17%
IoT and Edge/Fog Computing
1.49
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