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International Journal of Computational Intelligence Systems

Harvest Now, Decrypt Later as a Cross-sector Threat: A Scoping Review of Data-confidentiality Lifetimes Against Post-quantum Migration Readiness

Simon Baradziej

Published Aug 20, 2026• 1 citation
Publisher

Abstract

Abstract A cryptographically relevant quantum computer (CRQC) would break the public-key algorithms that protect most digital communication, but the risk does not begin when such a machine is switched on. Under the harvest-now-decrypt-later (HNDL) threat model, an adversary records encrypted traffic now and decrypts it once a CRQC exists, so any data whose confidentiality must outlast the machine’s arrival is exposed from the moment it is transmitted. This scoping review maps documented data-confidentiality lifetimes, charted by data category, against post-quantum migration readiness, documented by custodian sector, and applies Mosca’s inequality to reason about which data categories are most exposed. Following the Arksey and O’Malley framework, Joanna Briggs Institute guidance, and the PRISMA Extension for Scoping Reviews, 42 sources spanning peer-reviewed literature, standards bodies, government documents, and labeled grey literature were charted. Documented confidentiality lifetimes reach decades or are effectively perpetual for national-security records, health and genomic data, biometric identifiers, and privileged legal communications, and span years to decades for financial records. Migration-readiness evidence is uneven: most developed for government and defense and for cross-industry surveys, partial for finance and telecommunications, and largely absent for health care, genomics, and the legal sector. Reasoning through Mosca’s inequality, data categories with multi-decade or indefinite confidentiality requirements are, by that logic, already exposed to HNDL, because credible expert estimates place a meaningful probability of a CRQC within the same horizon; these exposure assessments are reasoned inferences rather than measurements. The central finding is a structural mismatch between long confidentiality obligations and immature migration, compounded by a readiness evidence gap that is itself a risk.

DOI
10.1007/s44196-026-01526-2

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Abstract A cryptographically relevant quantum computer (CRQC) would break the public-key algorithms that protect most digital communication, but the risk does not begin when such a machine is switched on. Under the harvest-now-decrypt-later (HNDL) threat model, an adversary records encrypted traffic now and decrypts it once a CRQC exists, so any data whose confidentiality must outlast the machine’s arrival is exposed from the moment it is transmitted. This scoping review maps documented data-confidentiality lifetimes, charted by data category, against post-quantum migration readiness, documented by custodian sector, and applies Mosca’s inequality to reason about which data categories are most exposed. Following the Arksey and O’Malley framework, Joanna Briggs Institute guidance, and the PRISMA Extension for Scoping Reviews, 42 sources spanning peer-reviewed literature, standards bodies, government documents, and labeled grey literature were charted. Documented confidentiality lifetimes reach decades or are effectively perpetual for national-security records, health and genomic data, biometric identifiers, and privileged legal communications, and span years to decades for financial records. Migration-readiness evidence is uneven: most developed for government and defense and for cross-industry surveys, partial for finance and telecommunications, and largely absent for health care, genomics, and the legal sector. Reasoning through Mosca’s inequality, data categories with multi-decade or indefinite confidentiality requirements are, by that logic, already exposed to HNDL, because credible expert estimates place a meaningful probability of a CRQC within the same horizon; these exposure assessments are reasoned inferences rather than measurements. The central finding is a structural mismatch between long confidentiality obligations and immature migration, compounded by a readiness evidence gap that is itself a risk.
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.
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.
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.
This paper provides a comprehensive review of quantum readiness as a critical, multidimensional framework for navigating the upcoming quantum computing era. It addresses the imminent threat posed by cryptographically relevant quantum computers (CRQCs), which will be capable of breaking the public-key cryptographic systems (like RSA and ECC) that currently secure digital communications and e-commerce. The concept of ”harvest now, decrypt later” (HNDL), where adversaries collect encrypted data today to decrypt it once quantum computers are available, highlights the urgency of this transition. The review is structured around three key dimensions: the theoretical foundations of post-quantum cryptography (PQC), global standardization efforts, and real-world sectoral implementations. It discusses how quantum algorithms, specifically Shor’s and Grover’s algorithms, can render classical cryptography obsolete, and it analyzes the NIST Post-Quantum Cryptography Standardization Project, which has selected the first-generation PQC standards. The paper also examines strategies from the European Union and other nations, noting the geopolitical implications of standards fragmentation. Furthermore, the review explores the practical adoption of PQC in critical sectors like finance, telecommunications, and defense, emphasizing the importance of crypto-agility—the ability to rapidly switch cryptographic algorithms—for future-proofing systems. It also highlights open challenges, including performance overheads, legacy system migration, and the shortage of skilled professionals. The paper concludes by outlining future directions for a secure transition, advocating for continuous research, global collaboration, and sustained investment to build a quantum-resilient digital ecosystem.
Quantum computing threatens the classical cryptographic systems underpinning financial infrastructure, exposing payment platforms, interbank networks, and digital services to Harvest-Now-Decrypt-Later (HNDL) risks. This study systematically reviews quantum threats and post-quantum cryptographic readiness in the financial sector to assess preparedness, identify implementation challenges, and synthesize migration pathways aligned with emerging standards. A PRISMA-guided review of 17 peer-reviewed studies published between 2020 and 2025 was conducted, examining quantum threat models, post-quantum cryptographic schemes, quantum key distribution architectures, and sector-specific deployment barriers. The review finds that lattice-based schemes, especially CRYSTALS-Kyber and CRYSTALS-Dilithium, are the leading candidates for financial adoption, while hybrid cryptographic approaches offer the most feasible transition strategy. However, the current evidence base is predominantly simulation-driven, with limited real-world deployment and validation. The study provides a sector-specific synthesis of quantum threats, post-quantum readiness, and migration pathways in financial systems, and advances an integrated readiness and migration framework based on cross-study thematic analysis.
Abstract Cryptographically relevant quantum computers (CRQCs) would break widely deployed public-key cryptography (RSA/ECC) via Shor’s algorithm, enabling retroactive decryption of captured ciphertext (“harvest now, decrypt later”). This paper presents an enterprise-cloud transition framework that couples (i) standards-based algorithm selection using NIST’s post-quantum standards (FIPS 203–205), (ii) a cloud threat model that distinguishes retroactive confidentiality loss from forward integrity/authentication risks, and (iii) a quantitative timing-risk model grounded in Mosca’s inequality. Using a public expert-elicitation distribution for Q-day timing and a reproducible Monte Carlo estimator, we compare migration strategies and key planning parameters (migration start year, migration duration, and confidentiality lifetime). We also contrast this probabilistic view with common deterministic single-date Q-day planning, highlighting how tail uncertainty can materially change exposure estimates and recommended start years. For a representative enterprise case ( X=10X{=}10X=10 X = 10 years, Y=6Y{=}6Y=6 Y = 6 years), delaying the migration start from 2026 to 2030 increases the expected exposed fraction of the confidentiality window from 0.37 to 0.54 under a midline timeline. We also provide cloud-specific implementation guidance (crypto inventory, hybrid TLS/QUIC and service-mesh deployments, PKI readiness, and governance), and summarize performance and interoperability drivers arising from larger post-quantum key material.