A Quantum-Resilient Decentralized Swarm Intelligence Framework for Secure Real-Time Synchronization in Industrial Metaverse Environments

Authors

  • Dr. Abdinasir Ismael Hashi Somali National University
  • Mr. Osman Abdullahi Jama Somali National University
  • Mr. Abdirizak Mohamed Hashi Jazeera University

DOI:

https://doi.org/10.47941/jts.3818

Keywords:

Industrial Metaverse, Swarm Intelligence, Post-Quantum Cryptography, CRYSTALS-Kyber, Blockchain Trust Management, Real-Time Synchronization

Abstract

Purpose: A secure, low-latency, and scalable synchronization framework is required for the Industrial Metaverse to connect distributed Industrial IoT (IIoT) devices, digital twins, and edge nodes. To accomplish this goal, the study introduces the Quantum-Resilient Decentralized Swarm Intelligence Framework (QR-DSIF) that fuses Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), system-wide trust management via Blockchain technology, Edge Computing architectures, and CRYSTALS-Kyber Post-Quantum Cryptography into one framework.

Methodology: The efficiency of QR-DSIF was shown in the simulation results using Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Blockchain technology, Edge Computing architectures, and CRYSTALS-Kyber Post-Quantum Cryptography.

Findings: The ACO routing mechanism provided routes that were approximately 650 units in length prior to using this mechanism and had achieved only 22 units after 11 iterations for a routing efficiency of 98%. Trust scores assigned to the blockchain were found to range from 0.64 to 0.98, with an average trust score of 0.85, and the levels of agreement among consensus participants ranged between 85% and 90%. Both encryption and decryption operations consistently maintained their processing time at/under 0.001 ms., while remaining consistent (0.03–0.04 ms.) when using Kyber encryption. PSO convergence produced improvements in fitness of 76.1 to 74.38, while the edge-node loads were balanced within a range of 535 to 620 units. Additionally, synchronization delay was improved from 86 to 75 ms, or approximately 12.8%.

Unique Contribution to Theory, Policy and Practice: These results indicate that QR-DSIF would provide efficient routing, strong security, balanced resource utilization, and reliable synchronization for Industrial Metaverse environments.

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Published

2026-07-01

How to Cite

Hashi, A. I., Jama, O. A., & Hashi, A. M. (2026). A Quantum-Resilient Decentralized Swarm Intelligence Framework for Secure Real-Time Synchronization in Industrial Metaverse Environments. Journal of Technology and Systems, 8(2), 61–82. https://doi.org/10.47941/jts.3818

Issue

Vol. 8 No. 2 (2026)

Section

Articles

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Copyright (c) 2026 Dr. Abdinasir Ismael Hashi, Mr. Osman Abdullahi Jama, Mr. Abdirizak Mohamed Hashi

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