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Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Medical Image Encryption Based on Josephus Traversing and Hyperchaotic Lorenz System.

Na Yang1, Shuxia Zhang1, Mudan Bai1

  • 1School of Information Engineering, Chang'an University, Xi'an, 710064 China.

Journal of Shanghai Jiaotong University (Science)
|January 2, 2023
PubMed
Summary

This study introduces a novel medical image encryption method using Josephus traversing and a hyperchaotic Lorenz system. The secure scheme effectively protects sensitive medical data against attacks and ensures image integrity during telemedicine.

Keywords:
Josephus traversinghyperchaotic Lorenz systemimage encryptionmedical image

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Area of Science:

  • Cryptography
  • Medical Imaging
  • Applied Mathematics

Background:

  • Medical images contain sensitive patient data requiring robust security.
  • Existing encryption methods may lack sufficient security or robustness for medical applications.

Purpose of the Study:

  • To develop a novel and secure medical image encryption scheme.
  • To enhance the protection of medical images against various attacks.
  • To ensure the integrity of medical images in telemedicine applications.

Main Methods:

  • A chaotic sequence generated by a hyperchaotic Lorenz system is utilized.
  • Image scrambling is performed using Josephus traversing and Arnold map.
  • Diffusion is achieved using the chaotic sequence and exclusive OR operations.
  • Plaintext image information is used for key generation to resist plaintext attacks.

Main Results:

  • The proposed scheme effectively hides medical image information.
  • The encryption method demonstrates strong resistance to common cryptanalytic attacks.
  • The scheme exhibits excellent robustness, preserving image quality after damage.

Conclusions:

  • The developed encryption scheme offers a secure and robust solution for medical image protection.
  • It is suitable for safeguarding sensitive data in telemedicine.
  • The research contributes positively to the field of secure medical imaging.