Preparing National Security Systems for the Quantum Era: A Roadmap for Post-Quantum Cryptographic Migration
Abstract
The anticipated emergence of cryptographically relevant quantum computing presents a strategic challenge for national security systems because many existing public-key cryptographic mechanisms depend on mathematical problems that may become vulnerable to sufficiently capable quantum computation. The central difficulty is therefore not limited to selecting a new cryptographic algorithm; it concerns the coordinated migration of complex national infrastructures, institutional processes, data repositories, software platforms, and interconnected information systems. This research and review article develops a policy-oriented roadmap for post-quantum cryptographic migration by synthesizing the supplied literature on quantum-resistant national security planning with evidence concerning technological adoption barriers, data quality, artificial intelligence governance, explainability, bias, implementation complexity, and safety. The analysis conceptualizes migration as a socio-technical transformation rather than a purely cryptographic replacement exercise. A phased framework is proposed consisting of discovery and inventory, risk classification, algorithm and architecture preparation, controlled transition, validation, institutionalization, and continuous assurance. The findings indicate that successful migration requires visibility into cryptographic dependencies, prioritization of mission-critical information, interoperability planning, governance mechanisms, skilled personnel, and continuous validation. The article further argues that lessons from healthcare and AI implementation literature are transferable at the level of governance and technology adoption, although they cannot substitute for cryptographic or quantum-specific technical evidence. The resulting roadmap positions post-quantum migration as a long-term national resilience program requiring executive governance, technical modernization, lifecycle management, and measurable implementation controls.
Keywords
References
Similar Articles
- Hiroshi Tanaka, Architectural Synergies: Integrating Blockchain, Fog Computing, And Generative Intelligence for Secure Digital Twin Ecosystems in Cyber-Physical Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Felicia S. Lee, A COMPARATIVE ANALYSIS OF SERVICE MESH PROXY ARCHITECTURES: FROM SIDECARS TO AMBIENT AND PROXYLESS MODELS IN CLOUD-NATIVE ENVIRONMENTS , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Prof. Dr. Matthias Reinhardt, Cloud-Orchestrated Ensemble Deep Learning Architectures for Predictive Modeling of Cryptocurrency Market Dynamics: A Theoretical, Empirical, and Cyber-Physical Systems Perspective , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Joshua Muller, Zero-Trust Transformation in Healthcare IT: Securing Legacy Medical Devices Through Windows 11 Modernization in Clinical Workstations , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Rohan Verma, Dr. Sneha Kulkarni, Machine-Learning Architectures enabling Human Trait Verification Alternatives within Risk-Coverage Ecosystems: Resilient Identity Validation, Policy Adherence , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Hakim Bin Abdullah, Marcus Tanaka, The Fusion of Enterprise Resource Planning and Artificial Intelligence: Leveraging SAP Systems for Predictive Supply Chain Resilience and Performance , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 07 (2025): Volume 02 Issue 07
- Dr. Alistair Sterling, Architectural Evolution and Decomposition Strategies: A Comprehensive Analysis of Microservice Migration, Performance Optimization, And Machine Learning-Assisted Service Boundary Detection , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Julian C. Vance, Prof. Anya Sharma, Synergistic Integration of AI and Blockchain: A Framework for Decentralized and Trustworthy Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Anh N. Tran, Siew H. Lim, A Critical Analysis of Apache Kafka's Role in Advancing Microservices Architecture: Performance, Patterns, and Persistence , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Sneha R. Patil, Dr. Liam O. Hughes, ENHANCED MALWARE DETECTION THROUGH FUNCTION PARAMETER ENCODING AND API DEPENDENCY MODELING , International Journal of Modern Computer Science and IT Innovations: Vol. 1 No. 01 (2024): Volume 01 Issue 01
You may also start an advanced similarity search for this article.