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AIP conference proceedings

Enhanced cloud security using post-quantum encryption techniques

Ramani Kasarapu, B. Venkata Sivaiah, Rohith Enjety, Jaswanth Chemarthipalli, Prudeep Kuppam, Mohd Aaqib

Published Jan 1, 2026• 0 citations
Publisher
DOI
10.1063/5.0312540

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Quantum computers and research on quantum computers are increasing due to the efficiency and speed required for critical applications. This scenario also kindles the vitality of data protection needed against threats from quantum computers. Research in post-quantum threats is very minimal so far, but it is much needed to protect the enormous data stored in the cloud for healthcare, governmental, or any crucial data. This research work presents an advanced hybrid double encryption approach for cloud data security based on Post-Quantum Cryptography (PQC) to ensure the restriction of unauthorized access. The suggested approach combines the benefits of the NTRU encryption and AES encryption algorithms and works in hybrid mode, offering strong security while resolving issues with real-time performance and cost-efficiency. A streamlined key management system is set together to improve real-time processing, significantly reducing encryption and decryption delay times. Moreover, NTRU Encrypt dynamic parameter selection, which adapts security parameters based on data sensitivity, maintains accurate information and security. In addition to addressing real-time performance and data security, an innovative development in this method is known as Quantum-Adaptive Stream Flow Encryption (QASFE), which enables secure data sharing and collaborative working within a quantum-resistant framework. This innovative feature enhances data accessibility while maintaining the highest level of security. In the era of post-quantum cryptography, our multifactor authentication technique, integrating double encryption and QASFE, is a proactive and flexible solution for securing cloud data, and protecting data security and privacy against emerging threats.
The QCECS Framework is ready to prevent new types of threats in the cloud environment given the increasing threat potential of quantum computing. RSA and ECC conventional encryption techniques cannot protect data security from quantum penetration and, therefore, the need for quantum security models. This incorporates the QKD for the impenetrable key exchange, post-quantum cryptography for data scrambling, blockchain for a more transparent way of managing keys, and the use of Artificial intelligence for real-time intrusion detection especially for traditional as well as quantum threats. At the same time, the proposed framework forms a symmetrical hybrid encryption approach with both quantum-resistant and classical interference to deliver the best outcomes while maintaining security integrity. The evidence derived from the study indicates that the framework protects the data through cryptographic mechanisms such as lattice-based cryptography and QKD and key management is secured through blockchain. It is crucial to mention, that the application of AI improves the detection of new threats in process and real time. This framework provides higher encryption strength, clarity, and quantum security compared to other methods. Even though various obstacles are resolved in the framework, several barriers remain in terms of hardware access, cloud adaptability, and internal enhancement. Yet, due to its novel approach to post-quantum cybersecurity, it has become a potential dominating solution for future cloud security.