QSMIT: A Quantum Secure Medical Image Transmission Using Sphincs+ With DICOM

As quantum computing capabilities continue to evolve, the need for quantum-secure communication protocols is becoming increasingly essential, and ongoing research in this area is crucial to maintain the security and privacy of digital information in healthcare and beyond. Considering the integrity of such data, we proposed a secure medical image transmission using a post-quantum digital signature scheme known as Sphincs+, as suggested by the National Institute of Standards and Technology. Sphincs+ offers strong security against quantum attacks, ensuring long-term data protection. It is stateless, avoids issues with key reuse, and provides efficient, scalable digital signatures. Its robustness and flexibility make it ideal for diverse applications, maintaining integrity even as quantum computing advances. We transmit a digitally signed image using DICOM encoding and Quantum Fourier Transform for transmission. DICOM ensures standardized, interoperable management of medical images, integrating devices and systems for accurate diagnosis for modern consumer healthcare workflows and record-keeping. The Quantum Fourier Transform offers exponential speedup and higher precision over the classical Fast Fourier Transform, particularly benefiting applications in signal processing, data encryption, and environmental sensing. Advanced mistake detection and repair techniques, as well as extraordinarily fast data transmission, are possible with quantum communication. Additionally, it preserves the confidentiality and integrity of data while lowering the possibility of data loss or corruption during transmission. Some popular performance measuring parameters, such as PNR, MSE, SSIM, etc., are used to validate the proposed framework and observe a convincing result.

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Publication Details

Journal
IEEE Transactions on Consumer Electronics
Published
2025-08-20
DOI
https://doi.org/10.1109/tce.2025.3601000
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

QSMIT: A Quantum Secure Medical Image Transmission Using Sphincs+ With DICOM

Ruhul Amin Hazarika, Manish Kumar, Kumar Sekhar Roy, Sk Mahmudul Hassan et al.
IEEE Transactions on Consumer Electronics
Brain Tumor Detection and Classification
article

QSMIT: A Quantum Secure Medical Image Transmission Using Sphincs+ With DICOM

Ruhul Amin Hazarika, Manish Kumar, Kumar Sekhar Roy, Sk Mahmudul Hassan, Shweta Singh, Rahul Kumar
article en

Abstract

As quantum computing capabilities continue to evolve, the need for quantum-secure communication protocols is becoming increasingly essential, and ongoing research in this area is crucial to maintain the security and privacy of digital information in healthcare and beyond. Considering the integrity of such data, we proposed a secure medical image transmission using a post-quantum digital signature scheme known as Sphincs+, as suggested by the National Institute of Standards and Technology. Sphincs+ offers strong security against quantum attacks, ensuring long-term data protection. It is stateless, avoids issues with key reuse, and provides efficient, scalable digital signatures. Its robustness and flexibility make it ideal for diverse applications, maintaining integrity even as quantum computing advances. We transmit a digitally signed image using DICOM encoding and Quantum Fourier Transform for transmission. DICOM ensures standardized, interoperable management of medical images, integrating devices and systems for accurate diagnosis for modern consumer healthcare workflows and record-keeping. The Quantum Fourier Transform offers exponential speedup and higher precision over the classical Fast Fourier Transform, particularly benefiting applications in signal processing, data encryption, and environmental sensing. Advanced mistake detection and repair techniques, as well as extraordinarily fast data transmission, are possible with quantum communication. Additionally, it preserves the confidentiality and integrity of data while lowering the possibility of data loss or corruption during transmission. Some popular performance measuring parameters, such as PNR, MSE, SSIM, etc., are used to validate the proposed framework and observe a convincing result.

IEEE Transactions on Consumer ElectronicsVol. 71(4)
Motilal Nehru National Institute of Technology (IN), Manipal Academy of Higher Education (IN), University of Calabria (IT), University of Petroleum and Energy Studies (IN)
Openalex Percentile: Top 73%
Brain Tumor Detection and Classification
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