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Smart city article details
| Title | Chaos-Based Dynamic Authentication For Secure Telehealth In Smart Cities |
|---|---|
| ID_Doc | 13747 |
| Authors | Nofal M.; Elmanfaloty R.A. |
| Year | 2025 |
| Published | Modelling, 6, 2 |
| DOI | http://dx.doi.org/10.3390/modelling6020025 |
| Abstract | The rise of telehealth in smart cities has introduced both opportunities and challenges, particularly in securing sensitive patient data and ensuring reliable authentication. This paper presents a chaos-based dynamic authentication scheme designed to address these challenges. Utilizing the inherent unpredictability and sensitivity of chaotic systems, the proposed method ensures robust protection against various attacks, including replay, brute-force, man-in-the-middle, collision, and parameter prediction. The scheme operates through a dynamic challenge–response mechanism using chaotic maps, which generate highly unpredictable authentication parameters. Simulations demonstrate the system’s strong resilience, minimal collision rate, and adaptability to diverse telehealth devices. By safeguarding sensitive telehealth data and promoting secure access control, this research provides a foundational framework for implementing secure authentication systems in smart cities. Future directions include real-world deployment and integration with advanced technologies like blockchain to further enhance security and scalability. © 2025 by the authors. |
| Author Keywords | chaos theory; chaotic maps; dynamic authentication; IoT security; smart cities; telehealth security |
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