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Enhancing IIoT security through blockchain-enabled workload analysis in fog computing environments.

Jitendra Kumar Samriya1, Amit Kumar2, Ashok Bhansali3

  • 1Department of Computer Science Engineering, IIIT Sonepat, Sonepat, India.

Scientific Reports
|November 25, 2025
PubMed
Summary
This summary is machine-generated.

This research introduces a novel approach for Industrial Internet of Things (IIoT) security and workload analysis. It enhances IIoT security using blockchain and optimizes manufacturing workloads with fog computing for improved efficiency and data integrity.

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Area of Science:

  • Industrial Automation
  • Cybersecurity
  • Network Computing

Background:

  • Industrial automation relies on robots and software, integrating technologies like machine learning and IoT for enhanced features.
  • Traditional industrial procedures pose high risks and inefficiencies, driving the need for automation.
  • The Industrial Internet of Things (IIoT) presents unique security challenges and workload management demands.

Purpose of the Study:

  • To propose a novel technique for workload analysis in fog networks.
  • To introduce a blockchain model for enhanced security in IIoT applications.
  • To analyze malicious activity and optimize manufacturing workloads within an IIoT framework.

Main Methods:

  • Malicious activity in IIoT networks is analyzed using a blockchain reinforcement Gaussian neural network.
  • Workload analysis for the manufacturing industry is performed using a fog cloud-based virtual machine multilayer perceptron model.
  • Experimental analysis is conducted on various manufacturing industry security datasets.

Main Results:

  • The proposed blockchain model effectively analyzes and mitigates malicious activities in IIoT networks.
  • The fog cloud-based multilayer perceptron model provides efficient workload analysis for manufacturing.
  • Experimental results demonstrate improvements in latency, Quality of Service (QoS), accuracy, reliability, and data integrity.

Conclusions:

  • The integration of blockchain and fog computing offers a robust solution for IIoT security and workload management.
  • The novel techniques enhance the efficiency, security, and reliability of industrial automation processes.
  • This research contributes to the advancement of secure and efficient IIoT applications in the manufacturing sector.