ChainHealth: Blockchain-Based IoT-Edge Model for Secure Management of Health Data

Rukiye Nur Çayan; Feyza Yıldırım Okay

Makale detayları

ChainHealth: Blockchain-Based IoT-Edge Model for Secure Management of Health Data

Yazarlar:

Rukiye Nur Çayan | Feyza Yıldırım Okay

Yayıncı:

Gazi University

Ana Başlıklar:

Computing Applications in Health

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.12 Issue 1, pp.72-95

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001342777

pISSN:

2147-9542

Anahtar kelimeler:

Özet:

 The Internet of Things IoT is rapidly expanding and seamlessly integrating into our daily lives, with an increasing number of objects connecting to the Internet. It operates as a networked architecture that enables communication between connected devices. IoT applications span various domains, including smart homes, cities, transportation, and healthcare. Among these, smart healthcare is particularly important, allowing specialists to monitor patients remotely, anytime, and anywhere. In this system, patient data is transmitted through networked systems, enabling remote health monitoring. However, significant challenges remain regarding the privacy and integrity of patient health data. This study addresses these challenges by proposing a model named ChainHealth that leverages IoT devices for data collection, edge infrastructure for processing, smart contracts on blockchain to ensure data integrity, and blockchain to store data securely. Experimental results demonstrate that ChainHealth significantly outperforms traditional models in terms of data transmission efficiency, scalability, and overall system performance. The model enhances throughput, reduces latency even as the number of users increases, and strengthens data encryption and transmission processes. Additionally, the smart contract mechanism is evaluated and shown to be reliable for managing data integrity. As a result, the proposed model ensures secure data transfer across the network and secure critical health information. By maintaining data integrity, confidentiality, and security, ChainHealth improves both the quality and reliability of healthcare services compared to traditional approaches.

 The Internet of Things IoT is rapidly expanding and seamlessly integrating into our daily lives, with an increasing number of objects connecting to the Internet. It operates as a networked architecture that enables communication between connected devices. IoT applications span various domains, including smart homes, cities, transportation, and healthcare. Among these, smart healthcare is particularly important, allowing specialists to monitor patients remotely, anytime, and anywhere. In this system, patient data is transmitted through networked systems, enabling remote health monitoring. However, significant challenges remain regarding the privacy and integrity of patient health data. This study addresses these challenges by proposing a model named ChainHealth that leverages IoT devices for data collection, edge infrastructure for processing, smart contracts on blockchain to ensure data integrity, and blockchain to store data securely. Experimental results demonstrate that ChainHealth significantly outperforms traditional models in terms of data transmission efficiency, scalability, and overall system performance. The model enhances throughput, reduces latency even as the number of users increases, and strengthens data encryption and transmission processes. Additionally, the smart contract mechanism is evaluated and shown to be reliable for managing data integrity. As a result, the proposed model ensures secure data transfer across the network and secure critical health information. By maintaining data integrity, confidentiality, and security, ChainHealth improves both the quality and reliability of healthcare services compared to traditional approaches.

 The Internet of Things IoT is rapidly expanding and seamlessly integrating into our daily lives, with an increasing number of objects connecting to the Internet. It operates as a networked architecture that enables communication between connected devices. IoT applications span various domains, including smart homes, cities, transportation, and healthcare. Among these, smart healthcare is particularly important, allowing specialists to monitor patients remotely, anytime, and anywhere. In this system, patient data is transmitted through networked systems, enabling remote health monitoring. However, significant challenges remain regarding the privacy and integrity of patient health data. This study addresses these challenges by proposing a model named ChainHealth that leverages IoT devices for data collection, edge infrastructure for processing, smart contracts on blockchain to ensure data integrity, and blockchain to store data securely. Experimental results demonstrate that ChainHealth significantly outperforms traditional models in terms of data transmission efficiency, scalability, and overall system performance. The model enhances throughput, reduces latency even as the number of users increases, and strengthens data encryption and transmission processes. Additionally, the smart contract mechanism is evaluated and shown to be reliable for managing data integrity. As a result, the proposed model ensures secure data transfer across the network and secure critical health information. By maintaining data integrity, confidentiality, and security, ChainHealth improves both the quality and reliability of healthcare services compared to traditional approaches.

 The Internet of Things IoT is rapidly expanding and seamlessly integrating into our daily lives, with an increasing number of objects connecting to the Internet. It operates as a networked architecture that enables communication between connected devices. IoT applications span various domains, including smart homes, cities, transportation, and healthcare. Among these, smart healthcare is particularly important, allowing specialists to monitor patients remotely, anytime, and anywhere. In this system, patient data is transmitted through networked systems, enabling remote health monitoring. However, significant challenges remain regarding the privacy and integrity of patient health data. This study addresses these challenges by proposing a model named ChainHealth that leverages IoT devices for data collection, edge infrastructure for processing, smart contracts on blockchain to ensure data integrity, and blockchain to store data securely. Experimental results demonstrate that ChainHealth significantly outperforms traditional models in terms of data transmission efficiency, scalability, and overall system performance. The model enhances throughput, reduces latency even as the number of users increases, and strengthens data encryption and transmission processes. Additionally, the smart contract mechanism is evaluated and shown to be reliable for managing data integrity. As a result, the proposed model ensures secure data transfer across the network and secure critical health information. By maintaining data integrity, confidentiality, and security, ChainHealth improves both the quality and reliability of healthcare services compared to traditional approaches.

Makale detayları

ChainHealth: Blockchain-Based IoT-Edge Model for Secure Management of Health Data

Yazarlar:

Rukiye Nur Çayan | Feyza Yıldırım Okay

Yayıncı:

Gazi University

Ana Başlıklar:

Computing Applications in Health

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.12 Issue 1, pp.72-95

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001342777

pISSN:

2147-9542

IoT

Blockchain

Edge

Health Data

Privacy

Sayı

Makale detayları

ChainHealth: Blockchain-Based IoT-Edge Model for Secure Management of Health Data

Yazarlar: Rukiye Nur Çayan | Feyza Yıldırım Okay

Yayıncı: Gazi University

Ana Başlıklar: Computing Applications in Health

Dergi: Gazi University Journal of Science Part A: Engineering and Innovation Vol.12 Issue 1, pp.72-95

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001342777

pISSN: 2147-9542

IoT

Blockchain

Edge

Health Data

Privacy

Sayı

Yazarlar:

Rukiye Nur Çayan | Feyza Yıldırım Okay

Yayıncı:

Gazi University

Ana Başlıklar:

Computing Applications in Health

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.12 Issue 1, pp.72-95

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001342777

pISSN:

2147-9542