Special Issue "Emerging Industrial Applications: Orchestration of Machine Learning, the IoT, and Blockchain"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: 24 December 2023 | Viewed by 2320

Special Issue Editors

Dr. Soumya Banerjee
E-Mail Website
Guest Editor
1. Sr. Vice President Innovation, Trasna Solutions Ltd., Arklow, Co. Wicklow, Y14 V277, Ireland,118 Avenue Francis Perrin, 13790 Rousset, France
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
Prof. Dr. Samia Bouzefrane
E-Mail Website
Guest Editor
CEDRIC Lab, Conservatoire National des Arts et Métiers, 75003 Paris, France
Interests: IoT/CPS; IoT security; trusted computing; computational intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

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
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • IoT
  • machine learning
  • blockchain
  • consensus

Published Papers (2 papers)

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Research

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Article
Using Crypto-Asset Pricing Methods to Build Technical Oscillators for Short-Term Bitcoin Trading
Information 2022, 13(12), 560; https://doi.org/10.3390/info13120560 - 29 Nov 2022
Viewed by 785
Abstract
This paper examines the trading performances of several technical oscillators created using crypto-asset pricing methods for short-term bitcoin trading. Seven pricing models proposed in the professional and academic literature were transformed into oscillators, and two thresholds were introduced to create buy and sell [...] Read more.
This paper examines the trading performances of several technical oscillators created using crypto-asset pricing methods for short-term bitcoin trading. Seven pricing models proposed in the professional and academic literature were transformed into oscillators, and two thresholds were introduced to create buy and sell signals. The empirical back-testing analysis showed that some of these methods proved to be profitable with good Sharpe ratios and limited max drawdowns. However, the trading performances of almost all methods significantly worsened after 2017, thus indirectly confirming an increasing financial literature that showed that the introduction of bitcoin futures in 2017 improved the efficiency of bitcoin markets. Full article
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Review

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Review
Non-Fungible Tokens (NFT): A Systematic Review
Information 2023, 14(1), 26; https://doi.org/10.3390/info14010026 - 31 Dec 2022
Viewed by 1248
Abstract
Non-fungible tokens (NFTs) are gaining in popularity and are already extensively implemented. New use cases for NFTs are constantly developing. NFTs may prevent counterfeiting since each token carries the owner’s digital signature and is thus unique. For the usage of NFTs to progress [...] Read more.
Non-fungible tokens (NFTs) are gaining in popularity and are already extensively implemented. New use cases for NFTs are constantly developing. NFTs may prevent counterfeiting since each token carries the owner’s digital signature and is thus unique. For the usage of NFTs to progress in an institutional environment, the potential for using NFTs must be investigated in detail. This discovery prompted a comprehensive examination of NFTs developed between 2012 and 2022. The scope is confined to the journal and the keywords “Blockchain”, “Block-chain”, “Non-fungible Token”, and “NFT” are used. Also excluded are studies based on interviews, articles in the press, non-English articles, reviews, conferences, book chapters, dissertations, and monographs. This evaluation includes 34 papers from the last decade. This research examines the current state and development trends of NFT. In addition, the gaps and difficulties in the related literature have been explored, with an emphasis on the limits. These results highlight many unsolved research questions and potential future research avenues that would likely be beneficial to academics and professionals. Full article
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Planned Papers

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.

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