(IF 5.900) Special issue on
In recent years, Blockchain technology, in conjunction with data mining technologies, has been getting special scrutiny from both academic institutions and commercial businesses. The Industrial Internet of Things (IIoT) and Industry 4.0 promote the interconnection of industrial machines, devices, processes, and the people who use them across a wide variety of industry verticals, such as education, supply chain, finance, and e-commerce. Blockchain is a revolutionary system that efficiently records data and transactions by combining decentralised data storage, consensus procedures, point-to-point transmission, and encryption techniques. On the other hand, data mining is a process that involves extracting knowledge from a massive amount of data by locating patterns, identifying anomalies, and establishing links within the data. It is important to look into the possibility of adding data mining and analysis to the underlying frameworks of current and future applications that use Blockchain technology for its unique qualities.
However, the use of blockchain technology in applications driven by large amounts of data on the Industrial Internet of Things still faces several obstacles and constraints on the technical front. In order to address these concerns and capitalise on these opportunities, the editors of this special issue are looking for original research that studies the uses of blockchain technology and big data in the Industrial Internet of Things and Industry 4.0.
In response to this call for papers, researchers, academics, industrial professionals, and research students working across a variety of engineering sectors and creative projects are encouraged to submit their most original research work in the areas of experimental and empirical analysis.
Original contributions are sought for, but are not limited to, the following areas in this Special Issue:
Advancement of blockchain in IIoT and Industry 4.0
Big data algorithms, tools, applications and services using blockchain
Blockchain-based decision making schemes for IIoT and Industry 4.0
Real/Industrial application-based Blockchain systems for IIoT and Industry 4.0
Blockchain data management
Data mining and knowledge discovery on blockchain
Blockchain in cloud/edge/fog computing
Association rule mining in Blockchain
Security and privacy aspects of Blockchain
Performance optimisation for blockchain-enabled big data applications
Open submission: 5 June 2022
Submission deadline: 31 October 2022
Author notification: within 4 weeks after submission
Revised manuscript due: within 2 weeks after notification
Notification of acceptance: within 2 weeks after revision submission
Tentative accepted paper publication date: within 2 months after the final version
Tentative SI paper collection and its web open: 2nd Quarter, 2023 (TBA)
All submitted papers must be clearly written in excellent English and contain only original work. All papers must be submitted in an electronic format, e.g., PDF format (preferred) or MS Word. Manuscripts should follow the formatting of the sample manuscript and references. You can refer to the details in the submission menu http://hcisj.com/submission/preparing_manuscript.php
All papers and some supplementary materials should be submitted through ScholarOne Manuscripts. The authors must select “SI2022-06Blockchain and BigDataForIIoT”. when they reach the “Article Type” step in the submission process https://mc04.manuscriptcentral.com/hcis.
Dr. Subhendu kumar Pani [Lead Guest Editor]
Krupajal Engineering College, BPUT, Odisha, India
Dr. Kamalakanta Muduli
Papua New Guinea University of Technology; Lae, Morobe Province; Papua New Guinea
Dr. Ioanna Dionysiou
Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Cyprus
Dr. Anil Kumar
Guildhall School of Business and Law, London Metropolitan University (LMU), London, U.K.
CISO at Anti-Human Trafficking Intelligence Initiative (ATII), Canada
Dr. FonoTamo Romeo Sephyrin
Tickle College of Engineering, University of Tennessee, USA