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Medical Images are Safe - an Enhanced Chaotic Scrambling Approach.

M Y Mohamed Parvees1, J Abdul Samath2, B Parameswaran Bose3,4

  • 1Research and Development Centre, Bharathiar University, Coimbatore, 641046, India. yparvees@gmail.com.

Journal of Medical Systems
|September 14, 2017
PubMed
Summary
This summary is machine-generated.

This study enhances medical image security using improved chaos-based encryption for Digital Imaging and Communication in Medicine (DICOM) images. The new method ensures patient data confidentiality in e-Health and m-Health systems.

Keywords:
DICOM securityEncryptionLogistic 2D coupled mapNIST testsPatient confidentialityRandom number generator

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Area of Science:

  • Information Security
  • Medical Imaging
  • Cryptography

Background:

  • Patient data confidentiality is critical in e-Health and m-Health services.
  • Protecting medical images is essential due to advancements in teleradiology and Picture Archiving and Communication Systems (PACS).
  • Existing security measures require enhancement to address evolving technological landscapes.

Purpose of the Study:

  • To develop an enhanced chaos-based encryption scheme for securing Digital Imaging and Communication in Medicine (DICOM) images.
  • To improve patient data confidentiality during storage and transfer within radiological information systems (RIS).
  • To explore the combination of improved pseudo-random number generators (PRNGs) with chaotic maps for robust encryption.

Main Methods:

  • Improved linear congruential generator (LCG) and XOR shift generator (XSG) were utilized.
  • These PRNGs were combined with an improved logistic 2D coupled chaotic map.
  • The proposed scheme was applied to encrypt DICOM images, and the resulting cipher images underwent rigorous security analyses and randomness tests.

Main Results:

  • The developed encryption scheme effectively encrypts DICOM images, enhancing confidentiality.
  • Security analyses and test suite evaluations demonstrated the scheme's robustness and the randomness of the cipher images.
  • The integration of improved PRNGs and chaotic maps yielded enhanced encryption performance.

Conclusions:

  • The proposed chaos-based encryption method provides a secure solution for protecting patient confidentiality in medical imaging.
  • The scheme is suitable for securing DICOM images within e-Health and m-Health environments, including RIS.
  • The study confirms the effectiveness of combining improved PRNGs and chaotic maps for advanced cryptographic applications in healthcare.