Blockchain technology has been changing the nature of several businesses, from supply chain management to electronic record management systems and copyright management to healthcare applications. It provides a resilient and secure platform for modifications due to its distributed and shared nature and cryptographic functions. Each new technology, however, comes with its challenges alongside its opportunities. Previously, we performed a systematic literature review (SLR) to explore how blockchain technology potentially benefits health domain applications. The previous SLR included 27 formal literature papers from 2016 to 2020. Noticing that blockchain technology is rapidly growing, we extended the previous SLR with a multivocal literature review (MLR) approach to present the state of the art in this study. We focused on understanding to what degree blockchain could answer the challenges inherited in the health domain and whether blockchain technology may bring new challenges to health applications. The MLR consists of 78 sources of formal literature and 23 sources of gray literature from 2016 to 2021. As a result of this study, we specified 17 health domain challenges that can be categorized into four groups: (i) meeting regulatory requirements and public health surveillance, (ii) ensuring security and privacy, (iii) ensuring interoperability, and (iv) preventing waste of resources. The analysis shows that blockchain makes significant contributions to the solutions of these challenges. However, 10 new pitfalls come with adopting the technology in the health domain: the inability to delete sensitive data once it is added to a chain, limited ability to keep large-scale data in a blockchain, and performance issues. The data we extracted during the MLR is available in a publicly accessible online repository.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424065PMC
http://dx.doi.org/10.1007/s11227-022-04772-1DOI Listing

Publication Analysis

Top Keywords

blockchain technology
20
health domain
20
literature review
12
blockchain
8
multivocal literature
8
previous slr
8
formal literature
8
health
7
literature
6
technology
6

Similar Publications

This paper aims to construct a green environmental protection system by advancing database energy-saving techniques and optimizing the energy-saving mechanism against the backdrop of blockchain integration. The protocol classification of wireless sensor networks is examined within the context of the rapid growth of information technology. The analysis draws upon the database storage and sharing model and recent research examples that connect blockchain and database technology.

View Article and Find Full Text PDF

A digital twin is a virtual model of a real-world system that updates in real-time. In healthcare, digital twins are gaining popularity for monitoring activities like diet, physical activity, and sleep. However, their application in predicting serious conditions such as heart attacks, brain strokes and cancers remains under investigation, with current research showing limited accuracy in such predictions.

View Article and Find Full Text PDF

Interest in supporting Federated Learning (FL) using blockchains has grown significantly in recent years. However, restricting access to the trained models only to actively participating nodes remains a challenge even today. To address this concern, we propose a methodology that incentivizes model parameter sharing in an FL setup under Local Differential Privacy (LDP).

View Article and Find Full Text PDF

Secure IoT data dissemination with blockchain and transfer learning techniques.

Sci Rep

January 2025

Torrens University Australia, Fortitude Valley, QLD 4006, Leaders Institute, 76 Park Road, Woolloongabba, QLD 4102, Brisbane, Queensland, Australia.

Article Synopsis
  • Streaming IoT data is crucial for building trust in sustainable IoT solutions, but current systems often face issues with reliability, security, and transparency due to their centralized structures.
  • The research introduces TraVel, a framework that uses blockchain and transfer learning to improve the security of IoT data management, utilizing decentralized IPFS for data storage and a private Ethereum blockchain for enhanced data integrity.
  • TraVel implements self-executing smart contracts for access control and uses an adversarial domain adaptation model to filter out malicious data, ensuring only validated data is stored, with successful performance shown in simulations.
View Article and Find Full Text PDF

Cybersecurity Solutions for Industrial Internet of Things-Edge Computing Integration: Challenges, Threats, and Future Directions.

Sensors (Basel)

January 2025

Department of Computer Science and Engineering, Yanbu Industrial College, Royal Commission for Jubail and Yanbu, Yanbu Industrial City 41912, Saudi Arabia.

This paper provides the complete details of current challenges and solutions in the cybersecurity of cyber-physical systems (CPS) within the context of the IIoT and its integration with edge computing (IIoT-edge computing). We systematically collected and analyzed the relevant literature from the past five years, applying a rigorous methodology to identify key sources. Our study highlights the prevalent IIoT layer attacks, common intrusion methods, and critical threats facing IIoT-edge computing environments.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!