An Efficient Provably Secure Identity-Based Authentication Technique for TMIS Under a Smart City Environment

The advent of the Internet of Things (loT) heralds a trans formative era for electronic healthcare systems in smart environments, enabling remote healthcare delivery for individuals with special medical needs through smart home technologies. These smart homes are fitted with specialized electronic devices that automate healthcare delivery, enhancing patient safety and enabling real-time health monitoring. Central to this system is a local intelligence unit that processes sensed data, identifies critical conditions, and facilitates communication between patients and healthcare providers. The integration of telemedicine and telecare into smart homes has led to the development of Telecare Medicine Information Systems (TMIS), further advancing remote healthcare services. However, TMIS faces significant security challenges, particularly in protecting sensitive user data transmitted over public networks. To overcome these vulnerabilities, identity-based authentication techniques based on extended chaotic maps have been proposed, though they often fall short of advanced security threats. This study introduces an innovative identity-based authentication scheme, leveraging an extended Chebyshev chaotic map within a smart city context, tailored for use in multi-server environments without trusted server relationships. The proposed scheme eliminates the need for a registration center and requires users to maintain only a single password for accessing multiple TMIS servers, offering enhanced security features and reduced computational overhead. The security and efficiency of the proposed scheme are substantiated through formal proof in the random oracle model, marking a significant advancement in secure remote healthcare delivery.