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<p>The rapid advancement of quantum computing presents a significant threat to traditional cryptographic systems, particularly in sectors that handle sensitive information such as healthcare. This paper presents a robust framework utilizing multivariate polynomial cryptography (MPC) to safeguard health data against potential quantum attacks. The model ensures comprehensive security by generating unique public–private key pairs for each healthcare provider, device, and endpoint, enabling secure identity management. Health data is digitally signed upon creation or modification, ensuring a verifiable chain of authenticity and integrity. The integration of MPC with symmetric encryption provides strong protection for data both at rest and in transit, enhancing confidentiality. During transmission, the integrity of the data is verified through MPC-based digital signatures, alerting systems to any unauthorized modifications. Furthermore, MPC is leveraged for access control and audit logging, creating secure, tamper-proof records of data interactions that ensure full accountability. Experimental results demonstrate that MPC offers encryption and decryption times comparable to symmetric algorithms like AES—around 0.15–0.8&#xa0;ms for data sizes up to 700&#xa0;KB—while maintaining significantly smaller ciphertext sizes than RSA, thereby ensuring efficient and secure protection of large healthcare datasets in resource-constrained environments. The results highlight the effectiveness of MPC in addressing both classical and quantum-era security challenges, supporting regulatory compliance and ensuring long-term data protection in healthcare systems.</p>

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Quantum-resilient framework for healthcare data security using multivariate polynomial cryptography

  • 期刊论文

  • 发表日期：

    2025年9月22日

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  • T. Anuradha,
  • S. Srithar,
  • A. Senthilnathan,
  • R. Satheesh,
  • S. Prabhadevi,
  • P. Moniya

摘要

The rapid advancement of quantum computing presents a significant threat to traditional cryptographic systems, particularly in sectors that handle sensitive information such as healthcare. This paper presents a robust framework utilizing multivariate polynomial cryptography (MPC) to safeguard health data against potential quantum attacks. The model ensures comprehensive security by generating unique public–private key pairs for each healthcare provider, device, and endpoint, enabling secure identity management. Health data is digitally signed upon creation or modification, ensuring a verifiable chain of authenticity and integrity. The integration of MPC with symmetric encryption provides strong protection for data both at rest and in transit, enhancing confidentiality. During transmission, the integrity of the data is verified through MPC-based digital signatures, alerting systems to any unauthorized modifications. Furthermore, MPC is leveraged for access control and audit logging, creating secure, tamper-proof records of data interactions that ensure full accountability. Experimental results demonstrate that MPC offers encryption and decryption times comparable to symmetric algorithms like AES—around 0.15–0.8 ms for data sizes up to 700 KB—while maintaining significantly smaller ciphertext sizes than RSA, thereby ensuring efficient and secure protection of large healthcare datasets in resource-constrained environments. The results highlight the effectiveness of MPC in addressing both classical and quantum-era security challenges, supporting regulatory compliance and ensuring long-term data protection in healthcare systems.