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Paper ID:IJSREM62212

An Intelligent Hybrid Cryptographic Security Framework: Leveraging Artificial Intelligence to Defend Critical Systems Against Next-Generation Quantum Computing Attacks

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62212

Volume:

10 |

4 |

April 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62212

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Gv

Gulshan verma

Amity Institute of information Technology

Amity university Raipur Chhattisgarh

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AD

Alka Dewangan

Amity Institute of information Technology

Amity university Raipur Chhattisgarh

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ST

Shikha Tiwari

Amity Institute of information Technology

Amity university Raipur Chhattisgarh

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Av

Aryan verma

Amity Institute of information Technology

Amity university Raipur Chhattisgarh

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Pv

Pinky vishwakarma

Amity Institute of information Technology

Amity university Raipur Chhattisgarh

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Abstract

Quantum computing advances rapidly and brings significant risks to traditional methods of encrypting data. As a result, new and innovative methods must be designed to provide advanced security techniques that will defend against both classical and quantum-based attacks. This work explores an AI-assisted hybrid cryptographic architecture (HCA) that combines traditional encryption, post-quantum methods of data encryption, and artificial intelligence to create a more secure system than offered by any of the individual methods alone. The HCA uses Algorithm 1, which applies an adaptive key management and threat detection protocol utilizing classical and lattice-based cryptographic techniques to create a unified hybrid key that provides dual layers of security. The HCA uses AI-assisted anomaly detection to monitor system functions, identify threats, and adjust security models accordingly. The HCA employs efficient key creation, encrypting, and decrypting processes with lower computational requirements and optimized resource usage. The performance of the HCA is evaluated against several performance metrics consisting of security level, computational complexity, total memory utilized, energy consumed, scalability, accuracy of detection, and false positive rate. The performance metrics demonstrate that the HCA significantly outperforms existing methods by achieving higher levels of security, shorter amounts of time to process information, and greater quality of detection while generating fewer false positives. The integration of AI into the HCA allows for greater adaptation to new and evolving cyber threats to respond in real time.As confirmed by both tables and graphical diagrams, the framework's proposed solution successfully balances security, efficiency, and scalability. This places it in a position to be used in today's climate of modern technologies (cloud computing, IoT networks, and secure communications). Overall, this study offers an effective and future-oriented way to deal with the obstacles of cyberspace security presented by quantum computing.

KEYWORDS

Keywords AI-Based Anomaly Detection Cryptographic Agility Encryption Federated Learning Hybrid Cryptography Key Management Lattice-Based Cryptography Post-Quantum Security Quantum Computing Reinforcement Learning

Cite This Article

Gulshan verma, Alka Dewangan, Shikha Tiwari, Aryan verma, Pinky vishwakarma, "An Intelligent Hybrid Cryptographic Security Framework: Leveraging Artificial Intelligence to Defend Critical Systems Against Next-Generation Quantum Computing Attacks," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-9, April 2026. https://doi.org/10.55041/IJSREM62212

Full Article/Conclusion

An AI-powered hybrid cryptography framework for dealing with the threats of quantum computing to conventional security has been developed using artificial intelligence (AI) due to the rapid developments in quantum computing technology and its potential to compromise conventional security methods; thus, researchers need to explore new methods of protecting their information and communications against any intentional threats from quantum computing. A result of combining AI and traditional cryptography with post-quantum cryptography produces a resilient method for both present and future cyber threats through the use of AI in the ability to detect anomalies, provide adaptive learning, and support decision-making in real-time enable the proposed hybrid cryptosystem to be highly robust and responsive to continuous changes in cyber threat environments.Algorithm 1, which is proposed by the authors as an example of the method and framework, illustrates how key generation, hybrid key exchange, encryption, and dynamic key management can be implemented through an efficient mechanism for secure communication, which will enable the development of a monitor and optimization and evaluation of the performance of the cryptographic techniques proposed for achieving secure communications.The results of the performance evaluations conducted on the proposed framework demonstrate that it provides better overall results than other current methods for the following evaluation parameters: (a) strength of security; (b) computation efficiency; (c) scalability; and (d) detection accuracy, with much lower resource consumption and much lower false positives compared to other current methods.The benefits of using hybrid cryptography for mitigating the disadvantages of individual cryptographic techniques combined with the advantages of AI in improving the capability of the system to detect and respond to continually evolving threats creates an adaptable and scalable cryptographic framework for a variety of applications, including cloud computing, the Internet of Things (IoT), and secure data transmissions.

References

[1] Khan, Q., Purification, S., & Chang, S.-Y. (2025). Post-quantum key exchange and subscriber identity encryption in 5G using ML-KEM (Kyber). Information, 16(7), 617. [2] Vidaković, M., & Miličević, K. (2023). Performance and applicability of post-quantum digital signature algorithms in resource-constrained environments. Algorithms, 16(11), 518. [3] Wang, Y., Li, L., Zhou, Y., & Zhang, H. (2024). A comprehensive review of MI-HFE and IPHFE cryptosystems. Mathematics. [4] Baldi, M., Bianchi, M., Chiaraluce, F., Rosenthal, J., & Schipani, D. (2020). A post-quantum hybrid encryption based on QC-LDPC codes. Theoretical Computer Science, 835, 82–96. [5] Bellare, M., Boldyreva, A., & Micali, S. (2000). Public-key encryption in a multi-user setting. In Advances in Cryptology (EUROCRYPT) (pp. 259–274). [6] Bellare, M., & Tackmann, B. (2016). The multi-user security of authenticated encryption. In Advances in Cryptology (CRYPTO) (pp. 247–276). [7] Berger, T. P., Cayrel, P.-L., Gaborit, P., & Otmani, A. (2009). Reducing key length of the McEliece cryptosystem. In AFRICACRYPT (pp. 77–97). [8] Berlekamp, E. R., McEliece, R. J., & Van Tilborg, H. C. (1978). On the inherent intractability of certain coding problems. IEEE Transactions on Information Theory, 24(3), 384–386. [9] Cramer, R., & Shoup, V. (2004). Design and analysis of practical public-key encryption schemes. SIAM Journal on Computing, 33(1), 167–226. [10] Fabšič, T., Kirchner, P., & Otmani, A. (2017). A reaction attack on the QC-LDPC McEliece cryptosystem. In PQCrypto (pp. 51–68).

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Publication Date

5/2/2026

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