A Double Chaotic Layer Encryption Algorithm for Clinical Signals in Telemedicine

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.