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Article

A Framework for Quantum Resilience of Cryptocurrency Exchanges in the Context of Asymmetric Data Accumulation Threats

by
Bakhytzhan Akhmetov
1,
Valery Lakhno
2,
Gulnaz Zhilkishbayeva
3,*,
Elvira Smagulova
3 and
Rysgul Bainazarova
3
1
Department of Informatics and Informatization of Education, Abai Kazakh National Pedagogical University, Almaty 050010, Kazakhstan
2
Department of Computer Systems, Networks and Cybersecurity, National University of Life and Environmental Sciences of Ukraine, 03041 Kyiv, Ukraine
3
Department of Computer Science, Sh. Yessenov Caspian University of Technologies and Engineering, Aktau 130000, Kazakhstan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(11), 5663; https://doi.org/10.3390/app16115663
Submission received: 1 April 2026 / Revised: 5 May 2026 / Accepted: 11 May 2026 / Published: 4 June 2026

Abstract

The present paper addresses the problem of modeling the resilient operation of a cryptocurrency exchange (CEX) under delayed quantum attacks of the harvest-now-decrypt-later type. The proposed model diverges from extant approaches in its conceptualization of the quantum threat. Whereas extant approaches treat the quantum threat as an external shock, the proposed model conceptualizes the accumulation of cryptographically vulnerable data as an internal state variable of the system. The framework under consideration is formulated as a system of nonlinear differential equations linking the exchange’s liquidity, the intensity of post-quantum cryptography (PQC) adoption, and the volume of accumulated threat. The analytical conditions for asymptotic stability are derived. The resolution of the system enables the identification of a region of admissible defense strategies, which is interpreted in the paper as a “survival dome.” Numerical simulations demonstrate that both delayed and excessively aggressive migration strategies toward post-quantum cryptography may lead to the degradation of the exchange. The findings indicate that a balanced and adaptive transition strategy, aimed at mitigating quantum risks, can preserve liquidity while minimizing long-term losses. The findings establish a theoretical framework for the development of migration strategies for financial platforms undergoing a transition to post-quantum security standards.
Keywords: quantum cyber threats; harvest-now-decrypt-later; post-quantum cryptography; cryptocurrency exchange resilience; exchange liquidity; differential modeling; FinTech security quantum cyber threats; harvest-now-decrypt-later; post-quantum cryptography; cryptocurrency exchange resilience; exchange liquidity; differential modeling; FinTech security

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MDPI and ACS Style

Akhmetov, B.; Lakhno, V.; Zhilkishbayeva, G.; Smagulova, E.; Bainazarova, R. A Framework for Quantum Resilience of Cryptocurrency Exchanges in the Context of Asymmetric Data Accumulation Threats. Appl. Sci. 2026, 16, 5663. https://doi.org/10.3390/app16115663

AMA Style

Akhmetov B, Lakhno V, Zhilkishbayeva G, Smagulova E, Bainazarova R. A Framework for Quantum Resilience of Cryptocurrency Exchanges in the Context of Asymmetric Data Accumulation Threats. Applied Sciences. 2026; 16(11):5663. https://doi.org/10.3390/app16115663

Chicago/Turabian Style

Akhmetov, Bakhytzhan, Valery Lakhno, Gulnaz Zhilkishbayeva, Elvira Smagulova, and Rysgul Bainazarova. 2026. "A Framework for Quantum Resilience of Cryptocurrency Exchanges in the Context of Asymmetric Data Accumulation Threats" Applied Sciences 16, no. 11: 5663. https://doi.org/10.3390/app16115663

APA Style

Akhmetov, B., Lakhno, V., Zhilkishbayeva, G., Smagulova, E., & Bainazarova, R. (2026). A Framework for Quantum Resilience of Cryptocurrency Exchanges in the Context of Asymmetric Data Accumulation Threats. Applied Sciences, 16(11), 5663. https://doi.org/10.3390/app16115663

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