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Overview

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:

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.