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September 5, 20251 citations

Post-Quantum Secure Cloud Architectures: Integrating AI-Driven Cryptography, Blockchain Protocols, and Number-Theoretic Foundations for Scalable Privacy

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MPMurali Krishna Pasupuleti

Key Points

  • This framework significantly improves quantum resistance, particularly with integrated AI-optimized cryptographic parameters.
  • Key components include lattice-, hash-, and code-based cryptographic primitives, ensuring robust protection against quantum threats.
  • Utilizing decentralized trust through blockchain, this architecture enhances adaptability and privacy for critical infrastructures.
  • Comparative studies reveal the proposed architecture's superiority over classical systems, promising efficiency and interoperability.

Abstract

Abstract: The accelerating advancement of quantum computing poses an imminent threat to classical cryptographic schemes, rendering traditional cloud security frameworks increasingly vulnerable. To address this challenge, this study proposes a post-quantum secure cloud architecture that integrates number-theoretic cryptography, artificial intelligence, and blockchain protocols within a scalable deployment model. The framework is built upon lattice-, hash-, and code-based cryptographic primitives whose security is grounded in number-theoretic hardness assumptions, while AI-driven reinforcement learning and deep learning mechanisms provide adaptive resilience through anomaly detection and optimized key management. Blockchain is employed to establish decentralized trust and immutability, supported by post-quantum signature schemes and quantum-safe ledgers, thereby ensuring verifiability across distributed environments. The methodology combines theoretical modeling, simulation environments, and multi-cloud validation to evaluate security, performance, and scalability. Anticipated results include measurable improvements in quantum resistance, reduced latency through AI-optimized cryptographic parameters, and sustained blockchain throughput under post-quantum constraints. Comparative analysis against classical and quantum-ready baselines highlights the superiority of the proposed system in maintaining privacy, efficiency, and interoperability. The findings suggest significant implications for both academia and industry by providing a unified framework capable of safeguarding critical infrastructures in finance, healthcare, and governance. This research contributes to the broader discourse on quantum-safe cybersecurity by demonstrating how interdisciplinary integration—spanning number theory, artificial intelligence, blockchain, and cloud computing—can establish resilient, future-proof digital ecosystems. Keywords Post-quantum cryptography, cloud security, AI-driven cryptography, blockchain protocols, number theory, quantum computing, scalable privacy, decentralized trust, adaptive security, multi-cloud architecture

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Cite This Study

Murali Krishna Pasupuleti (2025) studied this question.

synapsesocial.com/papers/68bb4de86d6d5674bcd0196fhttps://doi.org/10.62311/nesx/rp-3-aug-2025
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