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Authors: Beyaz{\i}t Bestami Yuksel

Summary

This paper presents a real-time ECG monitoring system that encrypts heart signals for secure cloud transmission in telemedicine. The key innovation is using each patient's own ECG signal characteristics to generate unique encryption keys on the fly — so the encryption key is biometric and patient-specific, refreshed continuously, and doesn't need traditional key exchange. The system encrypts data immediately after acquisition, sends it to the cloud, and doctors decrypt it remotely using matching keys.

Main takeaways:

Uses a learnable key generator that derives encryption keys from the patient's ECG signal itself
Keys control a chaotic logistic map that encrypts the data through permutation and XOR operations
Achieves strong security metrics (Shannon entropy 7.678 bits, passes NIST randomness tests)
Encryption adds minimal latency, preserving real-time performance
Reconstruction is nearly lossless (PSNR > 52 dB), so diagnostic features are preserved

Relevance

No connection to my work on LLM personas and conditional behavior — this is biomedical signal processing and cryptography. Included because it's a domain-specific security application, but not relevant to language models.

Threat model

Potential threat/caveat for clean result "Fine-tuning one persona on a two-marker chunk and another on the start marker plants the end marker at every donor answer's end, not chained to the start (LOW confidence)": this item discusses robustness, evaluation.

Abstract

arXiv:2605.08456v1 Announce Type: new Abstract: The realtime analysis and secure transmission of electrocardiogram ECG signals are critical for accurate diagnosis and safeguarding patient privacy in telemedicine applications This study presents a novel realtime ECG monitoring system that employs a learnable key generator LKG derived from each patients own ECG signal characteristics to dynamically produce unique encryption keys These keys determine the parameters r and x0 of a logistic map used for chaotic encryption The system securely encrypts realtime ECG data immediately after acquisition ensuring confidential transmission and storage in the cloud For remote clinical access the encrypted data is downloaded and decrypted on the doctors side using the matching key generated at the source or securely stored in the cloud This approach eliminates the need for traditional key exchange and substantially raises the cost of exhaustive key search in practice through persegment biometric key refresh and combined permutation and XOR diffusion supported by minentropy evaluation Compared to statickey methods the learnable biometric key design offers greater unpredictability and individualization A comprehensive set of security assessments including Shannon entropy 7678 bits correlation and autocorrelation disruption histogram statistics NIST SP 80022 frequency testing plaintextkey sensitivity avalanche effect FFTbased spectral flatness and robustness to noise and occlusion confirms the methods strength Reconstruction fidelity MSE approximately 5x106 PSNR greater than 52 dB MAE approximately 0002 demonstrates nearlossless decryption and preserved diagnostic features Encryption latency remains low preserving realtime performance.