Related Experiment Video
Updated: Jun 23, 2026
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat
Kumar Sekhar Roy1, Shweta Singh2, Hemangi Goswami1
1Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Plos One
|May 15, 2026
Summary
This study integrates post-quantum cryptography, machine learning, and certificate management into an enhanced Intent-Based Networking (IBN) system for robust network security. The unified framework demonstrates effective quantum-resilient authentication and anomaly detection, crucial for sensitive sectors like healthcare.
Area of Science:
- Cybersecurity
- Network Engineering
- Applied Cryptography
Background:
- The increasing complexity and evolving threat landscape in network security, particularly within healthcare systems, necessitate advanced solutions for device verification, access control, and threat detection.
- Existing security frameworks often struggle to provide comprehensive protection against both current and future (quantum) threats, highlighting a need for integrated, resilient architectures.
Purpose of the Study:
- To design, implement, and evaluate an improved Intent-Based Networking (IBN) system that unifies post-quantum cryptography, certificate-based identity management, and machine learning-based anomaly detection.
- To establish a quantum-safe, ML-assisted security architecture for networks, focusing on enhancing device authentication, access governance, and threat detection capabilities.
Main Methods:
- Integration of SPHINCS+ post-quantum digital signatures for authentication and X.509 certificates for identity management.
- Implementation of Role-Based Access Control (RBAC) with Multi-Factor Authentication (MFA) for fine-grained access policies.
- Utilization of machine learning models (Isolation Forest, MiniBatch KMeans) for anomaly detection and blockchain-inspired logging for data integrity.
Main Results:
- Achieved 100% success in post-quantum signature generation and verification, demonstrating quantum resilience.
- Effective anomaly detection with no false negatives in evaluated scenarios, ensuring early threat identification.
- Stable log-processing throughput and successful system integration, validating the unified framework's performance.
Conclusions:
- The integrated IBN system provides a quantum-safe, ML-assisted security architecture with demonstrated effectiveness in authentication, access control, and anomaly detection.
- Findings highlight trade-offs between security and usability, identifying areas for future improvement such as certificate expiry handling and large-scale validation.
- The study establishes a reproducible baseline for quantum-safe network security, motivating further research towards real-world deployment and adaptive policy optimization.