Special Issue "Emerging Industrial Applications: Orchestration of Machine Learning, the IoT, and Blockchain"
Deadline for manuscript submissions: 24 December 2023 | Viewed by 2320
2. Research Fellow, School of Computer Science and Information Technology, University College Cork, T12 K8AF Cork, Ireland
3. Associated Sr. researcher, INRIA-EVA Paris, 75012 Paris, France
4. CTO, MUST B2B Paris, Route De la Noue, Paris Area, 91190 Paris, France
Interests: machine learning; IoT; security and blockchain
Interests: IoT/CPS; IoT security; trusted computing; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue in Electronics: Blockchain for IoT and Cyber-Physical Systems
The significant trend of digital phase-shifts has been synergized by different artefacts—machine learning (ML) and the Internet of Things (IoT) and their associated security measures with the help of Blockchain and distributed ledger technologies. However, these technologies are developing independently, even though they are converging closer and closer to each other. We envisage a steady orchestration and combination of these technologies, formulating real, balanced industrial use-cases and challenges to be resolved—for example, training a binary hash with a machine learning algorithm to fit the result toward distributed ledger and blockchain toward IoT technologies. We also anticipate overlaps with existing consensus algorithms for use in the industrial IoT. It is therefore pivotal to organize and accumulate all such research ideas under a single issue.
This Special Issue invites papers on innovative ideas in, but not limited to
- Lightweight deep learning models and blockchain-based architectures for the IoT;
- ML impressed blockchain for emerging IoT applications;
- Privacy and accountability of ML-enabled IoT systems;
- Energy-efficient computing architecture for secure IoT applications;
- Analytical aspects of ML and blockchain converged IoT/Edge devices;
- Energy-efficient communication protocols for IoT systems powered by AI and blockchain;
- Intelligent and optimized consensus algorithms;
- Different versions of reinforcement learning and federated learning for IoT and blockchain implementations.
Dr. Soumya Banerjee
Prof. Dr. Samia Bouzefrane
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
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- machine learning
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: The Role of Blockchain in Medical Data Sharing
Authors: Hamed Taherdoost
Affiliation: Department of Arts, Communications and Social Sciences, University Canada West, Vancouver, BC V6B 1V9, Canada
Abstract: As medical technology advances, there is an increasing need for healthcare providers all over the world to securely share a growing volume of data. Blockchain technology is widely used in healthcare to provide a detailed understanding of patient records and to monitor data-sharing consent. It is a powerful technology that allows multiple parties to securely access and share data. Given the enormous challenge that healthcare systems face in digitizing and sharing health records, it is not unexpected that many are attempting to improve healthcare processes by utilizing blockchain technology. This review covers blockchain's role in medical data sharing by studying articles published from 2012 to 2022.