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Data Integrity of Radiology Images Over an Insecure Network Using AES Technique.

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This study introduces a hybrid cryptographic method combining Digital Reconstruction Radiography (DRR) and Advanced Encryption Standard (AES) to secure medical image datasets during transmission. The technique ensures data integrity and confidentiality, protecting against unauthorized modifications.

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AES techniqueBlock CipherDigitally Reconstructed RadiographEncryptionZig-Zag pattern

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Area of Science:

  • Medical Imaging Security
  • Radiology Information Systems
  • Data Transmission Security

Background:

  • Medical image transmission in radiology information systems is vulnerable to security breaches affecting Confidentiality, Integrity, and Availability (CIA).
  • Ensuring data integrity during transmission is crucial for accurate diagnosis and patient care.

Purpose of the Study:

  • To develop and evaluate a novel technique for secure transmission of complete medical image datasets.
  • To prevent data integrity violations during the transfer of radiological images.

Main Methods:

  • A hybrid cryptographic technique combining patient dataset details with the Advanced Encryption Standard (AES) was proposed.
  • The method involves creating a Digital Reconstruction Radiography (DRR) image, dividing it into quadrants, applying a zig-zag pattern, and encrypting each quadrant using AES.
  • The DRR image was regenerated at the receiver for verification using histogram techniques.

Main Results:

  • The technique was successfully tested on 60 CT and MRI scan datasets.
  • Evaluated against image injection attacks (adding, deleting, modifying pixels), demonstrating robustness.
  • Statistical validation using mean square error and histogram matching confirmed the method's effectiveness.

Conclusions:

  • The integrated DRR and AES approach effectively secures the entire medical image dataset during transmission.
  • This method ensures the confidentiality and integrity of radiological data, safeguarding against security threats.