A Decentralized Privacy-Preserving Healthcare Blockchain for IoT
By A. Dwivedi, Gautam Srivastava, Shalini Dhar, Rajani Singh. Italian National Conference on Sensors, 2019
726 citations recorded by the source corpus.
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.
Subfields: Computer Networks and Communications, Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/2077a68e8bdde9faae69f44b1920123fddcaa4d4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Hongwen Hui
- Dipanita Saha
- Md. Mahbubur Rahman
- Haoyu Wang
- Mohammad Nuruzzaman Bhuiyan
- Huixuan Yang
In Information Systems
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Hongwen Hui
- José Luis Hernández-Ramos
- Rafael Torres Moreno
- José Luis Cánovas
- Dipanita Saha
- Md. Mahbubur Rahman
Citations in the corpus
- Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019, background): “In [214] authors propose a decentralized privacy-preserving healthcare blockchain for IoT, which provides full anonymity by relying on ring signatures.”
- A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020, methodology): “The study in [77] proposes a framework that resolves such issues using public key, private key, light weight cryptographic techniques in integration with blockchain technology.”
- Survey on blockchain for Internet of Things (2019, background): “Dwivedi et al. [27] proposed that a blockchain could provide sucurity management and analysis of the big data about healthcare.”
- Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities (2021, background): “Dwivedi et al. [112] proposed a novel framework of modified blockchain models suitable for IoT devices.”