Theme Issue on Advances in blockchain-assisted Internet of Medical Things (IoMT)

Guest editors

Ali Kashif Bashir, Manchester Metropolitan University, UK, a.bashir@mmu.ac.uk
M. Omair Shafiq, Carleton University, Canada, omair.shafiq@carleton.ca
Nawab Muhammad Faseeh Qureshi, Sungkyunkwan University, South Korea, faseeh@skku.edu
Muhammad Shafiq, Guangzhou University, China, mshafiq@gzhu.edu.cn

Blockchain is a disruptive technology with decentralized architecture widely adopted across various sectors for its potential advantages. It provides secure, transparent, and verifiable transactions with the proof of rights and ownership.

Blockchain offers the Internet of Medical Things (IoMT) a variety of opportunities to support and transform healthcare services to end-users with improved trust, security, and privacy by transferring centralized medical systems into decentralized digital identity and information management systems. As IoMT continues to integrate medical devices, healthcare organizations can utilize these services to empower the growth of the medical sector with valuable data sources.

However, with exponential growth of the medical data come possible security and privacy threats, especially with the development of future generation computing systems. To effectively maintain data accountability and audit, private blockchain solutions can be implemented, but existing blockchain-assisted IoMT systems have significant drawbacks such as scalability, inadequate ledger storage facilities and a need for increased processing power.

Topics

To explore this subject, this issue will focus on advances in blockchain for IoMT.

We seek original high-quality research articles on blockchain-assisted advanced security models, and methodologies that investigate and propose improved performance, scalability, and storage for the IoMT environment.

Issues we wish to explore in this issue include but are not limited to:

  • Blockchain-assisted lightweight protocol design methods for IoMT environment
  • Advances in blockchain-assisted distributed machine learning solutions for IoMT environment
  • Innovative methods, theoretical models and architectural designs for IoMT using blockchain
  • Trust-based models for IoMT applications using blockchain
  • Blockchain assisted fog, edge, and cloud computing models for secure IoMT systems
  • Advances in blockchain and cybersecurity for secure IoMT applications
  • Effective ways to improve performance and efficiency measures of IoMT applications with blockchain
  • Blockchain-assisted federated learning solutions for secure IoMT mobile applications
  • Advances in vulnerability and risk management across IoMT environment with blockchain and Artificial intelligence methodologies
  • Blockchain for IoMT security
  • Advances in big data analytics with blockchain methodologies for secure IoMT

Important dates

Submissions:             19th May 2021
Author Notification:  23th July 2021
Revised Papers Due:  30th October 2021
Final decisions:            1st January 2022
Publication:                approx. mid-2022

Submissions

Submissions should be original papers and should not be under consideration for publication elsewhere.

Extended versions of papers from relevant conferences and workshops are invited as long as the additional contribution is substantial (at least 30% of new content).

Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at https://www.springer.com/journal/779.

For more information visit the Springer Nature Information for journal Article Authors pages at https://www.springer.com/gp/authors-editors/journal-author

During the first submission step in Editorial Manager select Original article as the article type. In further steps, you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.

All papers will be peer-reviewed.