Post-Quantum Cryptography Readiness: Cybersecurity Strategies for the Quantum Computing Era
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V7I2P130Keywords:
Post-Quantum Cryptography, Quantum Computing, Cybersecurity Readiness, Crypto-Agility, Cryptographic Migration, Quantum-Safe Security, NIST Standards, Information Systems SecurityAbstract
Quantum computing is no longer a distant concern for cybersecurity planning. Its progress has raised serious questions about the long-term reliability of widely used public-key cryptographic systems, especially RSA, elliptic curve cryptography, and related key exchange mechanisms that currently protect digital communication, cloud services, financial transactions, government systems, and enterprise information assets. The main concern is that powerful quantum algorithms could weaken the mathematical assumptions on which these systems depend, creating future risks for encrypted data, digital signatures, identity systems, and secure network protocols (Shor, 1994; Mosca, 2018). Post-quantum cryptography has therefore become a major cybersecurity readiness priority, not only as a technical replacement for vulnerable algorithms, but as a broader organizational migration challenge. Effective preparation requires cryptographic asset inventory, risk classification, crypto-agility, vendor coordination, interoperability testing, and phased deployment across complex information systems (Kumar, 2022; Campbell, 2025). This article examines the cybersecurity implications of quantum computing and reviews the major post-quantum cryptographic algorithm families, current standardization efforts, enterprise migration barriers, and strategic readiness measures needed for the quantum computing era. It also discusses the importance of aligning post-quantum migration with existing cybersecurity governance, information systems management, and long-term digital resilience planning. By emphasizing early preparation, structured migration, and continuous cryptographic governance, the article argues that organizations can reduce future quantum-related exposure and strengthen the security of critical digital infrastructure before large-scale quantum attacks become practical (NIST, 2024; NCCoE, 2025).
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[1] KOTA, S. K. (2022). A Real-World Deployment of an Enterprise Conversational AI Platform for Demand Generation and Lead Generation Using Guided Workflows with a Rasa-Based Chatbot. Frontiers in Computer Science and Artificial Intelligence, 1(1), 24-30.
[2] Shor, P. W. (1994, November). Algorithms for quantum computation: discrete logarithms and factoring. In Proceedings 35th annual symposium on foundations of computer science (pp. 124-134). Ieee.
[3] Grover, L. K. (1996, July). A fast quantum mechanical algorithm for database search. In Proceedings of the twenty-eighth annual ACM symposium on Theory of computing (pp. 212-219).
[4] Proos, J., & Zalka, C. (2003). Shor's discrete logarithm quantum algorithm for elliptic curves. arXiv preprint quant-ph/0301141.
[5] Vallemoni, R. K. (2022). Authorization-to-settlement at scale: A reference data architecture for ISO 8583/ISO 20022 coexistence. Journal of Computer Science and Technology Studies, 4(1), 88-98.
[6] Bernstein, D. J. (2025). Post-quantum cryptography. In Encyclopedia of Cryptography, Security and Privacy (pp. 1846-1847). Cham: Springer Nature Switzerland.
[7] Mosca, M. (2018). Cybersecurity in an era with quantum computers: Will we be ready?. IEEE Security & Privacy, 16(5), 38-41.
[8] Kumar, M. (2022). Post-quantum cryptography Algorithm's standardization and performance analysis. Array, 15, 100242.
[9] Dam, D. T., Tran, T. H., Hoang, V. P., Pham, C. K., & Hoang, T. T. (2023). A survey of post-quantum cryptography: Start of a new race. Cryptography, 7(3), 40.
[10] Li, S., Chen, Y., Chen, L., Liao, J., Kuang, C., Li, K., ... & Xiong, N. (2023). Post-quantum security: Opportunities and challenges. Sensors, 23(21), 8744.
[11] Vallemoni, R. K. (2021). Settlement, Fees, and Interchange: Data Models for Accurate Reconciliation and Exception Handling. AL-KINDI CENTER FOR RESEARCH AND DEVELOPMENT.
[12] Nejatollahi, H., Dutt, N., Ray, S., Regazzoni, F., Banerjee, I., & Cammarota, R. (2019). Post-quantum lattice-based cryptography implementations: A survey. ACM Computing Surveys (CSUR), 51(6), 1-41.
[13] Barrett-danes, F., & Ahmad, F. (2025). Quantum computing and cybersecurity: a rigorous systematic review of emerging threats, post-quantum solutions, and research directions (2019–2024). Discover Applied Sciences, 7(10), 1083.
[14] Hanafi, B., & Ali, M. (2025). Analyzing the research impact in post quantum cryptography through scientometric evaluation. Discover Computing, 28(1), 32.
[15] Hasija, T., Ramkumar, K. R., Kaur, A., & Bali, M. S. (2025). Exploring the landscape of post quantum cryptography: a bibliometric analysis of emerging trends and research impact. Journal of Big Data, 12(1), 225.
[16] Campbell, R. (2025). Enterprise Migration to Post-Quantum Cryptography: Timeline Analysis and Strategic Frameworks. Computers, 15(1), 9.
[17] Ott, D., & Peikert, C. (2019). Identifying research challenges in post quantum cryptography migration and cryptographic agility. arXiv preprint arXiv:1909.07353.
[18] Bos, J., Ducas, L., Kiltz, E., Lepoint, T., Lyubashevsky, V., Schanck, J. M., ... & Stehlé, D. (2018, April). CRYSTALS-Kyber: a CCA-secure module-lattice-based KEM. In 2018 IEEE European symposium on security and privacy (EuroS&P) (pp. 353-367). IEEE.
[19] Ducas, L., Kiltz, E., Lepoint, T., Lyubashevsky, V., Schwabe, P., Seiler, G., & Stehlé, D. (2018). Crystals-dilithium: A lattice-based digital signature scheme. IACR transactions on cryptographic hardware and embedded systems, 238-268.
[20] Nagraj, A. (2024). GraphQL in Wealth Management Platforms: Optimizing Data Access and Performance. British Journal of Multidisciplinary Studies, 2(1), 16-24.
[21] ALAMPALLY, J. (2024). Real-Time and Near-Real-Time Analytics in Healthcare Data Ecosystems. Journal of Computer Science and Technology Studies, 6(1), 314-324.
[22] Bernstein, D. J., Hopwood, D., Hülsing, A., Lange, T., Niederhagen, R., Papachristodoulou, L., ... & Wilcox-O’Hearn, Z. (2015, April). SPHINCS: practical stateless hash-based signatures. In Annual international conference on the theory and applications of cryptographic techniques (pp. 368-397). Berlin, Heidelberg: Springer Berlin Heidelberg.
[23] Fouque, P. A., Hoffstein, J., Kirchner, P., Lyubashevsky, V., Pornin, T., Prest, T., ... & Zhang, Z. (2018). Falcon: Fast-Fourier lattice-based compact signatures over NTRU. Submission to the NIST’s post-quantum cryptography standardization process, 36(5), 1-75.
[24] Hoffstein, J., Pipher, J., & Silverman, J. H. (1998, June). NTRU: A ring-based public key cryptosystem. In International algorithmic number theory symposium (pp. 267-288). Berlin, Heidelberg: Springer Berlin Heidelberg.
[25] Regev, O. (2009). On lattices, learning with errors, random linear codes, and cryptography. Journal of the ACM (JACM), 56(6), 1-40.
[26] Lyubashevsky, V., Peikert, C., & Regev, O. (2010, May). On ideal lattices and learning with errors over rings. In Annual international conference on the theory and applications of cryptographic techniques (pp. 1-23). Berlin, Heidelberg: Springer Berlin Heidelberg.
[27] Nagraj, A. (2022). Modernizing Legacy Banking Systems: Migration Strategies and Cost Optimization in Financial Enterprises. Frontiers in Computer Science and Artificial Intelligence, 1(1), 43-52.
[28] Micciancio, D. (2025). Lattice-based cryptography. In Encyclopedia of Cryptography, Security and Privacy (pp. 1400-1403). Cham: Springer Nature Switzerland.
[29] Niederreiter, H. (1986). Knapsack-type cryptosystems and algebraic coding theory. Prob. Contr. Inform. Theory, 15(2), 157-166.
[30] MARASANI, Y. (2024). Enterprise Readiness for Generative AI: The Critical Role of Data Engineering. Frontiers in Computer Science and Artificial Intelligence, 3(2), 59-71.
[31] Bigou, K., & Tisserand, A. (2013, August). Improving modular inversion in RNS using the plus-minus method. In International Conference on Cryptographic Hardware and Embedded Systems (pp. 233-249). Berlin, Heidelberg: Springer Berlin Heidelberg.
[32] Hülsing, A. (2013, June). W-OTS+–shorter signatures for hash-based signature schemes. In International Conference on Cryptology in Africa (pp. 173-188). Berlin, Heidelberg: Springer Berlin Heidelberg.
[33] Fernández-Caramés, T. M. (2019). From pre-quantum to post-quantum IoT security: A survey on quantum-resistant cryptosystems for the Internet of Things. IEEE Internet of Things Journal, 7(7), 6457-6480.
[34] Lohachab, A., Lohachab, A., & Jangra, A. (2020). A comprehensive survey of prominent cryptographic aspects for securing communication in post-quantum IoT networks. Internet of Things, 9, 100174.
[35] Asif, R. (2021). Post-quantum cryptosystems for Internet-of-Things: A survey on lattice-based algorithms. IoT, 2(1), 71-91.
[36] Zhang, Y., Tang, Y., Li, C., Zhang, H., & Ahmad, H. (2024). Post-quantum secure identity-based signature scheme with lattice assumption for internet of things networks. Sensors, 24(13), 4188.
[37] ALAMPALLY, J. (2024). Enhancing data quality and trust in AI systems through robust data engineering. Frontiers in Computer Science and Artificial Intelligence, 3(1), 120-130.
[38] MARASANI, Y. (2023). Machine Learning Models for Predicting Patient Treatment Switching Using Claims Data. Frontiers in Computer Science and Artificial Intelligence, 2(1), 59-66.
[39] Khan, M. A., Noor, F., Javaid, S., & Żywiołek, J. (2025). Implementation and performance of post-quantum cryptography for resource constrained consumer electronics. Discover Internet of Things, 5(1), 139.
[40] Adere, K., Hailu, S., Tseghai, A., Haile, G., Tamirat, B., Bitew, W., ... & Alemu, W. (2026). Systematic review on securing IoT systems with post quantum cryptography emerging threats, countermeasures, and future research needs. Discover Internet of Things.
[41] Chang, S. Y., & Khan, Q. (2026). Post-quantum cryptography in networking protocols: Challenges, solutions, and future directions. Cryptography, 10(1), 12.
[42] Paquin, C., Stebila, D., & Tamvada, G. (2020, April). Benchmarking post-quantum cryptography in TLS. In International Conference on Post-Quantum Cryptography (pp. 72-91). Cham: Springer International Publishing.
[43] Astrizi, T. L., & Custódio, R. (2024). Seamless transition to post-quantum TLS 1.3: A hybrid approach using identity-based encryption. Sensors, 24(22), 7300.
[44] NIST Releases First 3 Finalized Post-Quantum Encryption Standards | NIST. (2024, August 13). NIST. https://www.nist.gov/news-events/news/2024/08/nist-releases-first-3-finalized-post-quantum-encryption-standards?
[45] NIST Computer Security Resource Center. Post-Quantum Cryptography Project. (2024). https://csrc.nist.gov/projects/post-quantum-cryptography
[46] Migration to Post-Quantum Cryptography | NCCoE. (2025). NCCoE. https://www.nccoe.nist.gov/applied-cryptography/migration-to-pqc
[47] Gaithersburg MD NIST. (2024). Module-Lattice-Based Key-Encapsulation Mechanism Standard. Module-Lattice-Based Key-Encapsulation Mechanism Standard. https://doi.org/10.6028/nist.fips.203
[48] Vallemoni, R. K. (2022). Canonical payment data models for merchant acquiring: Merchants, terminals, transactions, fees, and chargebacks. International Journal of Computer Science and Engineering (ISCSITR-IJCSE), 3(1), 42-66.
[49] Stebila, D., Fluhrer, S., & Gueron, S. (2026). Hybrid key exchange in TLS 1.3. IETF Datatracker. https://datatracker.ietf.org/doc/draft-ietf-tls-hybrid-design/
