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Networked medical data sharing on secure medium - A web publishing mode for DICOM viewer with three layer

Sridevi Arumugham1, Sundararaman Rajagopalan1, John Bosco Balaguru Rayappan1

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This study proposes a secure method for sharing Digital Imaging and Communications in Medicine (DICOM) images over a Local Area Network (LAN). The system enhances security through encryption, watermarking, and a three-layer authentication scheme for e-healthcare.

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Area of Science:

  • Health Informatics
  • Cybersecurity
  • Medical Imaging

Background:

  • Increasing demand for e-healthcare necessitates secure medical image sharing.
  • Existing Local Area Network (LAN) systems for medical records require enhanced security.
  • Confidentiality, integrity, and authentication are critical for medical data.

Purpose of the Study:

  • To propose a security-enhanced system for sharing DICOM images over a LAN.
  • To address confidentiality, integrity, and authentication challenges in e-healthcare image sharing.
  • To integrate a robust authentication scheme and cloud storage for secured medical images.

Main Methods:

  • Developed a hybrid crypto-watermarking system using Advanced Encryption Standard (AES) and Integer Wavelet Transform (IWT).
  • Embedded encrypted watermarks (patient history, thumb impression, QR code) into DICOM images.
  • Implemented a three-layer authentication: username/password, facial recognition, and FPGA-generated One-Time Password (OTP).

Main Results:

  • The proposed system demonstrated robustness against brute force, statistical, and cropping attacks.
  • Evaluated using parameters like key sensitivity, key space, correlation, entropy, histogram, MSE, PSNR, and SSIM.
  • Validated the strength and effectiveness of the hybrid crypto-watermarking and authentication algorithms.

Conclusions:

  • The developed system provides a secure and reliable solution for DICOM image sharing in e-healthcare environments.
  • The multi-layered security approach effectively protects sensitive medical data.
  • The system supports secure cloud storage and web publishing of medical images.