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A Double Chaotic Layer Encryption Algorithm for Clinical Signals in Telemedicine.

M A Murillo-Escobar1, L Cardoza-Avendaño2, R M López-Gutiérrez2

  • 1Electronics and Telecommunication Department, Scientific Research and Advanced Studies Center of Ensenada (CICESE), Ensenada, BC, Mexico.

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A new symmetric encryption algorithm using chaotic systems enhances telemedicine security. This method protects sensitive patient data like ECGs and EEGs, ensuring privacy and confidentiality during remote healthcare.

Keywords:
Chaotic encryptionECGEEGLogistic mapSecurity analysistelemedicine

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Area of Science:

  • Cryptography
  • Telemedicine Security
  • Applied Mathematics

Background:

  • Telemedicine offers remote healthcare but faces security challenges due to data transmission over insecure channels.
  • Ensuring authentication, confidentiality, and privacy of sensitive clinical records is crucial in telemedicine applications.
  • Chaotic systems offer robust solutions for secure cryptographic implementations.

Purpose of the Study:

  • To propose a novel symmetric encryption algorithm for securing clinical information in telemedicine.
  • To enhance the confidentiality and privacy of physiological signals using a chaotic system.
  • To validate the proposed algorithm's security and effectiveness through comprehensive analysis.

Main Methods:

  • Developed a novel symmetric encryption algorithm based on a logistic map with a double chaotic layer encryption (DCLE) diffusion process.
  • Implemented a single round of confusion-diffusion for encrypting clinical signals like ECG, EEG, and BP.
  • Utilized PhysioBank database for acquiring clinical signals for encryption and analysis.
  • Performed extensive security analysis and pseudorandomness tests using NIST 800-22 suite in MATLAB simulations.

Main Results:

  • The proposed algorithm demonstrated high effectiveness, security, and robustness in protecting clinical data.
  • Security analysis confirmed the algorithm's ability to provide confidentiality and privacy for telemedicine applications.
  • Pseudorandomness tests validated the quality of the generated cryptograms, meeting NIST standards.

Conclusions:

  • The novel chaotic encryption scheme offers a secure and effective solution for protecting sensitive clinical data in telemedicine.
  • The algorithm's strong security features and validated performance show its potential for practical implementation in remote healthcare systems.
  • This research contributes to advancing secure data handling practices in the growing field of telemedicine.