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
Most read articles by the same author(s)
- Prof. Elise Vandermark, Integrating Lakehouse Architectures and Cloud Data Warehousing For Next-Generation Enterprise Analytics , 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
- Serhii Svynarov, AI-Driven Automation in Cloud-Based Business Systems: A Practical Implementation Using Microservices Architecture , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Priya Kapoor, A Comprehensive Analytical Framework for Zero Trust Architecture: Evolutionary Paradigms, Socio-Technical Adoption, and Integrative Security in Heterogeneous Network Environments , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- 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
- Paul Kovalenko, Resilient Embedded and Automotive Systems: Integrating Lockstep Architectures, Software-Based Fault Detection, And Cyber-Physical Safety Models for Next-Generation Reliability , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Emiliano R. Vassalli, Event-Driven Architectures in Fintech Systems: A Comprehensive Theoretical, Methodological, and Resilience-Oriented Analysis of Kafka-Centric Microservices , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Victor E. Halden, Integrating AI-Driven Automation into Modern DevOps: Advancements, Challenges, and Strategic Implications in Software Engineering , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Liam Anderson, Dr. Olivia Brown, Intelligent COVID-19 Classification System Using Multi-Resolution Curvelet Analysis and Optimized Support Vector Machine Learning Model , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Rina Kobayashi, Algorithmic Decision Engines and The Regulatory Frontier: A Multi-Dimensional Analysis of Machine Learning Architectures and Governance in Global Financial Ecosystems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 02 (2026): Volume 03 Issue 02
Similar Articles
- Prof. Lucas F. Oliveira, SM9-ENHANCED KEY-POLICY ATTRIBUTE-BASED ENCRYPTION: DESIGN, ANALYSIS, AND APPLICATIONS , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 06 (2025): Volume 02 Issue 06
- Dr. Alexei Morozov, Prof. Kevin J. Donovan, The Transformative Impact of Containerization on Modern Web Development: An In-depth Analysis of Docker and Kubernetes Ecosystems , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr. Pradeep Laxkar, Zero Trust Architecture in Modern Cybersecurity: A Review of Core Principles, Applications, And Research Directions , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Dr. Eleanor Whitfield, Architecting Secure and Cost-Optimized Iot-Cloud Ecosystems: Integrating AI-Driven Intrusion Detection, Multi-Path Routing, And Intelligent Workload Scheduling in Distributed Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Aarav Mehta, Kavya Sharma, Deep Belief Network-Based Intelligent Framework for Financial Fraud Detection and Real-Time Alerting in Cloud Computing , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Tang Shu Qi, Autonomous Resilience: Integrating Generative AI-Driven Threat Detection with Adaptive Query Optimization in Distributed Ecosystems , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Nilesh Jain, Autonomous Security Validation Across Cloud, Edge, And IOT Ecosystems: A Review , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Vivek Sharma, Survey of Secure Workload Scheduling and Management in Cloud Computing Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Dr Chintal Kumar Patel, A Comprehensive Review of User Authentication and Authorization Techniques in Cloud Computing , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Adrian K. Varela, Edge Intelligence-Driven Intrusion Detection for Internet of Things Networks in Next-Generation Communication Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 03 (2026): Volume03 Issue03
You may also start an advanced similarity search for this article.