A Cloud-Native AI Framework for Real-Time Detection of Quantum Computing Attacks on Classical Cryptography

Authors

  • Akinniyi James Samuel Akin James LLC, Independent Researcher Works Author

DOI:

https://doi.org/10.21590/ijtmh.12.01.03

Keywords:

Quantum Computing Attacks, Cloud-Native Security, Artificial Intelligence, Post-Quantum Cryptography, Real-Time Threat Detection, Zero Trust Architecture, Microservices

Abstract

The fast pace of quantum computing is a big threat to the classical cryptographic schemes, making more prevalent encryption patterns like RSA and ECC susceptible to attacks heretofore computationally infeasible. With the shortening of the timeline to inspect quantum supremacy, organizations must consider proactive actions to counteract quantum-based intrusions, especially cloud-native setups that store sensitive information and vital infrastructures. In this paper, an innovative Cloud-Native Artificial Intelligence (AI) Framework, QCAI-Guard, that is focused on real-time detection of quantum computing attacks on classical cryptographic protocols, is introduced. The suggested architecture can use the scalability and flexibility of the cloud native platforms, namely container-based microservices that are dynamically deployed through Kubernetes and proposed threat detection models that are driven by advanced AI but trained using synthetic quantum intrusion datasets. It uses the strategy of layers of security, where it uses zero trust principles, AI to detect anomalies, entails quantum signature responses, and post-quantum secure communication protocols. Moreover, we suggest an event streaming pipeline with a high level of security for real-time alerting and threat attribution. The simulated cloud environment provided experimental evaluations over simulated attack vectors by quantum-caused attacks on TLS and VPN protocols. These outcomes indicate the high accuracy of the framework during the initial attack detection with low latency, proving its practicality in real-world applications. Based on its efficacy in various metrics, performance benchmarks indicate its effectiveness in terms of detection accuracy, response time and scalability of the system. Also, the modular architecture allows full integration with already existing cloud security infrastructures and future expansion to new post-quantum algorithms. QCAI-Guard provides enterprises and government agencies with a quantum-safe solution in the future by integrating the concepts of cloud-native computing, artificial intelligence, and post-quantum security.

Downloads

Published

2026-01-30

Similar Articles

41-50 of 165

You may also start an advanced similarity search for this article.