Industrial Internet of Things (IIoT)-based systems have become an important part of industry consortium systems because of their rapid growth and wide-ranging application. Various physical objects that are interconnected in the IIoT network communicate with each other and simplify the process of decision-making by observing and analyzing the surrounding environment. While making such intelligent decisions, devices need to transfer and communicate data with each other. However, as devices involved in IIoT networks grow and the methods of connections diversify, the traditional security frameworks face many shortcomings, including vulnerabilities to attack, lags in data, sharing data, and lack of proper authentication. Blockchain technology has the potential to empower safe data distribution of big data generated by the IIoT. Prevailing data-sharing methods in blockchain only concentrate on the data interchanging among parties, not on the efficiency in sharing, and storing. Hence an element-based K-harmonic means clustering algorithm (CA) is proposed for the effective sharing of data among the entities along with an algorithm named underweight data block (UDB) for overcoming the obstacle of storage space. The performance metrics considered for the evaluation of the proposed framework are the sum of squared error (SSE), time complexity with respect to different m values, and storage complexity with CPU utilization. The results have experimented with MATLAB 2018a simulation environment. The proposed model has better sharing, and storing based on blockchain technology, which is appropriate IIoT.

Department of Applied Cybernetics Faculty of Science University of Hradec Králové 50003 Hradec Králové Czech Republic

Department of Computational Mathematics Science and Engineering College of Engineering Michigan State University East Lansing MI 48824 USA

Department of Computer Science CHRIST Bengaluru India

Department of Mathematics Faculty of Science Mansoura University Mansoura 35516 Egypt

Department of Statistics and Operations Research College of Science King Saud University P O Box 2455 Riyadh 11451 Saudi Arabia

School of Computing Science and Engineering Galgotias University Greater Noida India

Singidunum University Belgrade Serbia

Sci Rep. 2024 May 7;14(1):10439. doi: 10.1038/s41598-024-60626-1. PubMed

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