Across modern digital and industrial environments, the rapid growth in publicly disclosed cybersecurity vulnerabilities in recent years has created serious challenges for organizations. Sensitive data faces exposure not only from present-day attacks, but also from future quantum-enabled threats. This threat is intensified by the “harvest now, decrypt later (HNDL)” threat model, in which adversaries capture encrypted data today for future decryption. In response, the current research has divided into three pillars of awareness, assessment, and mitigation. This research focuses on the awareness level, aiming to improve the understanding of quantum-related cyber risks and their impact on critical environments. We depend on the Metaverse to provide more effective and immersive awareness tools. At the mitigation level, the research in this stage just gives practical recommendations that will enhance resilience. Overall, the framework aims at providing an enhanced understanding, simulation, and management of quantum threats in cybersecurity contexts.
Across modern digital and industrial environments, the rapid growth in publicly disclosed cybersecurity vulnerabilities in recent years has created serious challenges for organizations. Sensitive data faces exposure not only from present-day attacks, but also from future quantum-enabled threats. This threat is intensified by the “harvest now, decrypt later (HNDL)” threat model, in which adversaries capture encrypted data today for future decryption. In response, the current research has divided into three pillars of awareness, assessment, and mitigation. This research focuses on the awareness level, aiming to improve the understanding of quantum-related cyber risks and their impact on critical environments. We depend on the Metaverse to provide more effective and immersive awareness tools. At the mitigation level, the research in this stage just gives practical recommendations that will enhance resilience. Overall, the framework aims at providing an enhanced understanding, simulation, and management of quantum threats in cybersecurity contexts.
Telecommunication infrastructures rely on cryptographic protocols designed for long-term confidentiality, yet data exchanged today faces future exposure when adversaries acquire quantum or large-scale computational capabilities. This harvest-now, decrypt-later (HNDL) threat transforms persistent communication records into time-dependent vulnerabilities. We model HNDL as a temporal cybersecurity risk, formalizing the adversarial process of deferred decryption and quantifying its impact across sectors with varying confidentiality requirements. Our framework evaluates how delayed post-quantum cryptography (PQC) migration amplifies exposure and how hybrid key exchange and forward-secure mechanisms mitigate it. Results show that high-retention sectors such as satellite and health networks face exposure windows extending decades under delayed PQC adoption, while hybrid and forward-secure approaches reduce this risk horizon by over two-thirds. We demonstrate that temporal exposure is a measurable function of data longevity and migration readiness, introducing a network-centric model linking quantum vulnerability to communication performance and governance. Our findings underscore the urgent need for crypto-agile infrastructures that maintain confidentiality as a continuous assurance process throughout the quantum transition.
The emergence of quantum computing poses a transformative challenge to established cybersecurity protocols and traditional cryptographic systems, necessitating an urgent transition toward post-quantum cryptography. As quantum threats evolve from theoretical possibilities to practical risks, governments and industrial sectors are increasingly compelled to develop strategies for adopting quantum-resistant algorithms. This paper evaluates the global landscape of post-quantum security, with a specialized focus on the defense strategies adopted by technologically advanced nations. It investigates the efforts of these countries to construct quantum-resilient security architectures while addressing the distinct technical and resource constraints faced by developing nations. A primary contribution of this research is the analysis of the Industry Readiness Assessment Survey, which evaluates organizational awareness and technical preparedness within the specific context of India’s digital and regulatory environment. The findings highlight the critical importance of mitigating "harvest now, decrypt later" threats through international cooperation and the development of sovereign transition plans. By synthesizing empirical survey data with strategic policy analysis, this paper provides a roadmap for securing national interests and ensuring long-term data integrity against future quantum computational capabilities
Abstract Background The emergence of quantum computing poses unprecedented threats to current cryptographic systems, potentially rendering RSA, ECC, and other widely-deployed algorithms vulnerable to exponential-time attacks. Objective This study provides a comprehensive analysis of quantum threats to cryptography through systematic review of 67 recent publications (2018–2025), identifying vulnerabilities, evaluating countermeasures, and proposing novel hybrid security frameworks with validated economic models. Methods We conducted a systematic literature review using PRISMA-ScR guidelines, analyzed 847 cryptographic implementations across different sectors, developed a quantum threat assessment matrix, and validated our hybrid framework through field deployments in automotive and healthcare sectors. Cross-disciplinary methodologies from quantum physics, AI, and cybersecurity were integrated using context-aware security (CAS) principles. Results Our analysis reveals three critical threat vectors: immediate harvest-now-decrypt-later (HNDL) attacks affecting 67% of surveyed organizations, medium-term RSA/ECC vulnerabilities projected for 2030–2035, and long-term post-quantum transition challenges. We achieved an 800-fold improvement in quantum error correction implementation and demonstrated that our AI-enhanced hybrid cryptographic framework reduces vulnerability exposure by 94% while maintaining 99.4% system uptime. Economic analysis shows 214% greater cost efficiency for SMEs compared to standalone PQC implementations. Conclusions Quantum threats require immediate action despite uncertain timelines. Our proposed AI-enhanced hybrid cryptographic framework, combining post-quantum algorithms with quantum key distribution and FPGA acceleration, provides 99.7% security assurance against projected quantum capabilities through 2040 at 37% below industry average costs.
This study evaluates the feasibility of post-quantum cryptographic (PQC) algorithms in mitigating "Harvest Now, Decrypt Later" (HNDL) attacks as quantum computing advances threaten classical encryption. Using datasets from the NIST Post-Quantum Cryptography Project, Deloitte’s PQC Adoption Survey, and IBM & Google Quantum Roadmaps, the study applied statistical modeling, Monte Carlo simulations, and ARIMA forecasting to assess PQC security resilience, adoption readiness, and quantum decryption feasibility. The findings indicate that CRYSTALS-Kyber and CRYSTALS-Dilithium outperform RSA-2048 and ECC-256 in quantum resistance, with attack cost thresholds exceeding 1.91×10101.91 \times 10^{10}1.91×1010 compared to 2.24×1082.24 \times 10^82.24×108 for RSA-2048. Industry adoption varies, with government PQC implementation at 79%, finance at 67%, and healthcare lagging at 48%. Quantum decryption probability remains negligible until 2029 but rises to 78.6% by 2033. This study addresses the critical challenge of post-quantum cryptographic (PQC) adoption amid growing quantum threats, particularly "Harvest Now, Decrypt Later" (HNDL) attacks. By evaluating PQC security resilience, industry adoption, and quantum decryption feasibility, the findings provide strategic insights for policymakers and cybersecurity experts. Highlighting the vulnerabilities of CRYSTALS-Kyber to side-channel attacks, this research underscores the need for continuous cryptanalysis, hybrid encryption models, and adaptive security frameworks to future-proof data.Organizations must accelerate PQC adoption, integrate hybrid cryptographic models, enforce regulatory policies, and sustain cryptanalysis efforts to ensure long-term security.
The arrival of cryptographically relevant quantum computers (CRQCs) represents an existential threat to the public-key cryptographic infrastructure underpinning global enterprise operations. Enterprise security today relies on RSA and elliptic-curve cryptography (ECC) for TLS, VPNs, PKI, code signing, and identity systems—all of which are fundamentally broken by Shor's algorithm on a sufficiently powerful quantum computer. The defining risk is time-shifted compromise: adversaries can harvest encrypted traffic today and decrypt it once CRQCs exist, a threat already underway according to U.S. intelligence assessments. NIST finalized three post-quantum cryptographic (PQC) standards in August 2024 (FIPS 203/204/205) and mandates deprecation of quantum-vulnerable algorithms by 2035. Yet only 5% of organizations have implemented quantum-safe encryption and 95% lack formal quantum transition plans. This paper provides a comprehensive, threat-driven analysis across seven dimensions: quantum algorithm impact, harvest-now-decrypt-later (HNDL) threat models, enterprise asset risks (PKI, TLS, VPNs, code signing, cloud, IoT, identity, blockchain, supply chain), sector-specific vulnerabilities (financial services, healthcare, critical infrastructure), cryptographic primitive analysis, migration standards and roadmaps, and enterprise readiness gaps. The convergence of HNDL attacks already underway, multi-decade data sensitivity windows, and 12–15 year enterprise migration timelines means the migration deadline has, for most sectors, already passed.
Quantum computers capable of breaking RSA-2048 are projected to emerge by 2030 ± 3 years. Analysis of more than 100 primary sources indicates that 98–100% of healthcare records and 95–100% of government-classified data encrypted today are likely to face retroactive decryption under the Harvest Now, Decrypt Later (HNDL) attack model, in which adversaries collect encrypted data today and decrypt it once cryptographically relevant quantum computers become available. This paper introduces a formal time-dependent risk model that quantifies exposure as a function of data confidentiality lifetime (Ld) and attacker decryption horizon (Ha). Using the vulnerability condition Ld > Ha, we evaluate sector-specific quantum risk across healthcare, finance, government, and cloud environments, demonstrating that long-lived sensitive data faces near-certain compromise under classical public-key cryptography. The study analyzes NIST’s finalized post-quantum cryptography standards (FIPS 203–205: ML-KEM, ML-DSA, and SLH-DSA) and presents a unified five-phase migration framework addressing technical, operational, regulatory, and supply-chain constraints. Drawing on real-world deployments—including Apple iMessage PQ3, Google Chrome, Cloudflare, IBM Quantum Safe, and the U.S. Federal Government—the paper provides actionable guidance for organizations seeking to achieve 90% or greater post-quantum cryptography migration by 2030. The window for protecting long-lived data is now—not when quantum computers arrive.