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Algorithms
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Using Blockchain Technology in the Industry 4.0 Era: Cases and...
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Using Blockchain Technology in the Industry 4.0 Era: Cases and Applications

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 8115

Special Issue Editors

Prof. Dr. Tsan-Ming Choi (Jason)

E-Mail Website
Guest Editor
Business Division, Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Interests: supply chain and logistics management; fashion business; operations research; systems engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Frank Werner

E-Mail Website
Guest Editor
Faculty of Mathematics, Otto-von-Guericke-University, P.O. Box 4120, D-39016 Magdeburg, Germany
Interests: scheduling, in particular development of exact and approximate algorithms; stability investigations is discrete optimization; scheduling with interval processing times; complexity investigations for scheduling problems; train scheduling; graph theory; logistics; supply chains; packing; simulation and applications
Special Issues, Collections and Topics in MDPI journals
Dr. Xiutian Shi

E-Mail Website
Guest Editor
Nanjing University of Science and Technology
Interests: Supply Chain Management; management accounting

Special Issue Information

Dear Colleagues,

In the Industry 4.0 era, Blockchain technology is critical for industrial systems. It is common knowledge that blockchain technology has the features of a distributed ledger with high data security. It supports cryptocurrency, enhances product provenance, and facilitates the implementation of smart contracting.

The use of blockchain technology involves both technical and practical aspects. In this Special Issue, we invite you to submit high-quality papers to this Special Issue on “Using Blockchain Technology in the Industry 4.0 era: Cases and Applications”. Areas of interest include but are not limited to the following:

  • Algorithms for implementing blockchain technology in the real world;
  • Case studies of using blockchain technology in real-world industrial settings;
  • Applications of heuristics for implementing blockchain technology in practice;
  • Security measures for blockchain technology in the real world;
  • Real world platforms for implementing blockchain technology;
  • Algorithms for supporting blockchain technology data management in real applications;
  • Optimization models for blockchain-based industrial systems;
  • Smart contracting in the Industry 4.0 era;
  • Cryptocurrency in industrial systems in the Industry 4.0 era;
  • Game theoretic analyses for operations problems with blockchain.

Dr. Tsan-Ming Choi (Jason)
Prof. Dr. Frank Werner
Dr. Xiutian Shi
Guest Editor

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. Algorithms 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.

Published Papers (2 papers)

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Research

21 pages, 2031 KiB  
Article
Security Audit of a Blockchain-Based Industrial Application Platform
by Jan Stodt, Daniel Schönle, Christoph Reich, Fatemeh Ghovanlooy Ghajar, Dominik Welte and Axel Sikora
Algorithms 2021, 14(4), 121; https://0-doi-org.brum.beds.ac.uk/10.3390/a14040121 - 10 Apr 2021
Cited by 17 | Viewed by 3967
Abstract
In recent years, both the Internet of Things (IoT) and blockchain technologies have been highly influential and revolutionary. IoT enables companies to embrace Industry 4.0, the Fourth Industrial Revolution, which benefits from communication and connectivity to reduce cost and to increase productivity through [...] Read more.
In recent years, both the Internet of Things (IoT) and blockchain technologies have been highly influential and revolutionary. IoT enables companies to embrace Industry 4.0, the Fourth Industrial Revolution, which benefits from communication and connectivity to reduce cost and to increase productivity through sensor-based autonomy. These automated systems can be further refined with smart contracts that are executed within a blockchain, thereby increasing transparency through continuous and indisputable logging. Ideally, the level of security for these IoT devices shall be very high, as they are specifically designed for this autonomous and networked environment. This paper discusses a use case of a company with legacy devices that wants to benefit from the features and functionality of blockchain technology. In particular, the implications of retrofit solutions are analyzed. The use of the BISS:4.0 platform is proposed as the underlying infrastructure. BISS:4.0 is intended to integrate the blockchain technologies into existing enterprise environments. Furthermore, a security analysis of IoT and blockchain present attacks and countermeasures are presented that are identified and applied to the mentioned use case. Full article
(This article belongs to the Special Issue Using Blockchain Technology in the Industry 4.0 Era: Cases and Applications)
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12 pages, 1674 KiB  
Article
Monitoring Blockchain Cryptocurrency Transactions to Improve the Trustworthiness of the Fourth Industrial Revolution (Industry 4.0)
by Kamyar Sabri-Laghaie, Saeid Jafarzadeh Ghoushchi, Fatemeh Elhambakhsh and Abbas Mardani
Algorithms 2020, 13(12), 312; https://0-doi-org.brum.beds.ac.uk/10.3390/a13120312 - 27 Nov 2020
Cited by 8 | Viewed by 2943
Abstract
A completely new economic system is required for the era of Industry 4.0. Blockchain technology and blockchain cryptocurrencies are the best means to confront this new trustless economy. Millions of smart devices are able to complete transparent financial transactions via blockchain technology and [...] Read more.
A completely new economic system is required for the era of Industry 4.0. Blockchain technology and blockchain cryptocurrencies are the best means to confront this new trustless economy. Millions of smart devices are able to complete transparent financial transactions via blockchain technology and its related cryptocurrencies. However, via blockchain technology, internet-connected devices may be hacked to mine cryptocurrencies. In this regard, monitoring the network of these blockchain-based transactions can be very useful to detect the abnormal behavior of users of these cryptocurrencies. Therefore, the trustworthiness of the transactions can be assured. In this paper, a novel procedure is proposed to monitor the network of blockchain cryptocurrency transactions. To do so, a hidden Markov multi-linear tensor model (HMTM) is utilized to model the transactions among nodes of the blockchain network. Then, a multivariate exponentially weighted moving average (MEWMA) control chart is applied to the monitoring of the latent effects. Average run length (ARL) is used to evaluate the performance of the MEWMA control chart in detecting blockchain network anomalies. The proposed procedure is applied to a real dataset of Bitcoin transactions. Full article
(This article belongs to the Special Issue Using Blockchain Technology in the Industry 4.0 Era: Cases and Applications)
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