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Advancing Data Security in Cloud Computing: A Comprehensive Exploration of Quantum-Secure Variant of Fully Homomorphic Encryption Technique.

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Názov: Advancing Data Security in Cloud Computing: A Comprehensive Exploration of Quantum-Secure Variant of Fully Homomorphic Encryption Technique.
Autori: Carol, I.
Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p2825-2844, 20p
Predmety: CLOUD computing security measures, DATA privacy, DATA security, CLOUD computing, ELECTRONIC data processing
Abstrakt: The increasing reliance on Cloud Computing for large-scale data processing has raised significant concerns about data security and privacy, especially in the face of emerging quantum threats. Traditional Fully Homomorphic Encryption (FHE) schemes, while enabling secure computations on encrypted data, face vulnerabilities against quantum attacks due to their reliance on classical cryptographic hardness assumptions. This research explores a Quantum-Secure Variant of Fully Homomorphic Encryption (QFHE) that leverages Module-Learning With Errors (Module-LWE) and Ring-LWE to provide post-quantum security while maintaining efficient homomorphic computations. The proposed QFHE scheme integrates lattice-based cryptography with verifiability mechanisms, ensuring both computational integrity and resistance to quantum adversaries. Additionally, optimizations in key switching and bootstrapping techniques enhance efficiency, making the model viable for real-world cloud applications. By securing encrypted data operations against both classical and quantum threats, QFHE presents a forward-thinking solution for enterprises seeking robust, future-proof data security in Cloud Computing environments. [ABSTRACT FROM AUTHOR]
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Databáza: Biomedical Index
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Abstrakt:The increasing reliance on Cloud Computing for large-scale data processing has raised significant concerns about data security and privacy, especially in the face of emerging quantum threats. Traditional Fully Homomorphic Encryption (FHE) schemes, while enabling secure computations on encrypted data, face vulnerabilities against quantum attacks due to their reliance on classical cryptographic hardness assumptions. This research explores a Quantum-Secure Variant of Fully Homomorphic Encryption (QFHE) that leverages Module-Learning With Errors (Module-LWE) and Ring-LWE to provide post-quantum security while maintaining efficient homomorphic computations. The proposed QFHE scheme integrates lattice-based cryptography with verifiability mechanisms, ensuring both computational integrity and resistance to quantum adversaries. Additionally, optimizations in key switching and bootstrapping techniques enhance efficiency, making the model viable for real-world cloud applications. By securing encrypted data operations against both classical and quantum threats, QFHE presents a forward-thinking solution for enterprises seeking robust, future-proof data security in Cloud Computing environments. [ABSTRACT FROM AUTHOR]
ISSN:11358599