Semantic Scholar Open Access 2019 708 sitasi

A Decentralized Privacy-Preserving Healthcare Blockchain for IoT

A. Dwivedi Gautam Srivastava Shalini Dhar Rajani Singh

Abstrak

Medical care has become one of the most indispensable parts of human lives, leading to a dramatic increase in medical big data. To streamline the diagnosis and treatment process, healthcare professionals are now adopting Internet of Things (IoT)-based wearable technology. Recent years have witnessed billions of sensors, devices, and vehicles being connected through the Internet. One such technology—remote patient monitoring—is common nowadays for the treatment and care of patients. However, these technologies also pose grave privacy risks and security concerns about the data transfer and the logging of data transactions. These security and privacy problems of medical data could result from a delay in treatment progress, even endangering the patient’s life. We propose the use of a blockchain to provide secure management and analysis of healthcare big data. However, blockchains are computationally expensive, demand high bandwidth and extra computational power, and are therefore not completely suitable for most resource-constrained IoT devices meant for smart cities. In this work, we try to resolve the above-mentioned issues of using blockchain with IoT devices. We propose a novel framework of modified blockchain models suitable for IoT devices that rely on their distributed nature and other additional privacy and security properties of the network. These additional privacy and security properties in our model are based on advanced cryptographic primitives. The solutions given here make IoT application data and transactions more secure and anonymous over a blockchain-based network.

Penulis (4)

A

A. Dwivedi

G

Gautam Srivastava

S

Shalini Dhar

R

Rajani Singh

Format Sitasi

Dwivedi, A., Srivastava, G., Dhar, S., Singh, R. (2019). A Decentralized Privacy-Preserving Healthcare Blockchain for IoT. https://doi.org/10.3390/s19020326

Akses Cepat

Lihat di Sumber doi.org/10.3390/s19020326
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
708×
Sumber Database
Semantic Scholar
DOI
10.3390/s19020326
Akses
Open Access ✓