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Ilmu Komputer & AI editorial

Open AccessOA2026

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

QR-DSIF integrates PSO, ACO, blockchain trust, edge computing, and CRYSTALS-Kyber post-quantum cryptography to achieve low-latency, secure synchronization for Industrial IoT and digital twins.
Abdinasir Ismael Hashi; Osman Abdullahi Jama; Abdirizak Mohamed Hashi· Journal of Technology and Systems· 2026· DOI 10.47941/jts.3818

The core problem

The Industrial Metaverse demands real-time synchronization among distributed Industrial IoT (IIoT) devices, digital twins, and edge nodes. Existing synchronization mechanisms struggle to provide low latency, scalability, and security against emerging quantum threats. This study introduces the Quantum-Resilient Decentralized Swarm Intelligence Framework (QR-DSIF), which fuses Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), blockchain-based trust management, edge computing architectures, and CRYSTALS-Kyber post-quantum cryptography into a unified framework. The goal is to achieve efficient routing, strong security, balanced resource utilization, and reliable synchronization for Industrial Metaverse environments.

Innovation

The simulation results demonstrate the effectiveness of QR-DSIF:

- **ACO routing efficiency**: Initial route length was approximately 650 units; after 11 iterations, it reduced to 22 units, achieving 98% routing efficiency.
- **Blockchain trust scores**: Trust scores ranged from 0.64 to 0.98, with an average of 0.85. Consensus agreement among participants ranged between 85% and 90%.
- **Encryption/decryption performance**: Processing time remained at or under 0.001 ms for both encryption and decryption. With Kyber encryption, times were consistent at 0.03–0.04 ms.
- **PSO convergence**: Fitness improved from 76.1 to 74.38.
- **Edge-node load balancing**: Loads were balanced within a range of 535 to 620 units.
- **Synchronization delay**: Reduced from 86 ms to 75 ms, a 12.8% improvement.

These results indicate that QR-DSIF provides efficient routing, strong security, balanced resource utilization, and reliable synchronization.

The Industrial Metaverse demands real-time synchronization among distributed Industrial IoT (IIoT) devices, digital twins, and edge nodes. Existing synchronization mechanisms struggle to provide low latency, scalability, and security against emerging quantum threats. This study introduces the Quantum-Resilient Decentralized Swarm Intelligence Framework (QR-DSIF), which fuses Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), blockchain-based trust management, edge computing architectures, and CRYSTALS-Kyber post-quantum cryptography into a unified framework. The goal is to achieve efficient routing, strong security, balanced resource utilization, and reliable synchronization for Industrial Metaverse environments.
The QR-DSIF framework was evaluated through simulation. The key components include:

Why it matters

The integration of PSO, ACO, blockchain, edge computing, and post-quantum cryptography in QR-DSIF yields synergistic benefits. ACO's adaptive routing significantly reduces path length, enhancing real-time communication. Blockchain-based trust management ensures node reliability and consensus, with high agreement levels indicating robustness. The extremely low encryption/decryption times, even with Kyber, demonstrate practical feasibility for real-time industrial applications. PSO effectively balances edge-node loads, preventing bottlenecks. The 12.8% reduction in synchronization delay directly addresses the low-latency requirement of the Industrial Metaverse. Overall, QR-DSIF offers a comprehensive solution for secure, scalable, and quantum-resilient synchronization in Industrial Metaverse environments.

Who should read this

CS practitioners and researchers

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