ArticlePeerJ. Computer science2025
A secure healthcare data transmission based on synchronization of fractional order chaotic systems.
Article in PeerJ. Computer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
The transmission of healthcare data plays a vital role in cities worldwide, facilitating access to patient's health information across healthcare systems and contributing to the enhancement of care services. Ensuring secure healthcare transmission requires that the transmitted data be reliable. However, verifying this reliability can potentially compromise patient privacy. Given the sensitive nature of health information, preserving privacy remains a paramount concern in healthcare systems. In this work, we present a novel secure communication scheme that leverages a chaos cryptosystem to address the critical concerns of reliability and privacy in healthcare data transmission. Chaos-based cryptosystems are particularly well-suited for such applications due to their inherent sensitivity to initial conditions, which significantly enhances resistance to adversarial violations. This property makes the chaos-based approach highly effective in ensuring the security of sensitive healthcare data. The proposed chaos cryptosystem in this work is built upon the synchronization of fractional-order chaotic systems with varying structures and orders. The synchronization between the primary system (
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