| Abstract |
People with special needs can receive health care services in their own homes through the use of smart home systems. In essence, this type of smart home has specialized electronics that allow remote operation of automated remote health care gadgets, enabling patient security and health tracking. These sensors are linked to a local intelligence unit, which examines sensor data, detects emergencies, and serves as the patient’s point of contact with various healthcare professionals such as doctors, paramedics, nurses, and emergency services. Smart homes can improve the patient’s quality of life and security by creatively utilizing cutting-edge technologies. The use of smart homes is being driven by telemedicine and telecare. Telecare Medicine Information Systems (TMIS) were developed 20 years ago and have increased in popularity on a global scale since then as current technology has enabled healthcare to be delivered remotely. Using upgraded network technologies, a new technological platform for TMIS for patients is provided. TMIS, on the other hand, is commonly targeted by various forms of attacks due to data transmission across an insecure channel. Several authentication techniques based on the chaotic map have recently been proposed. Many of these designs, however, are not resistant to the known attacks. Although some of the structures achieve low computation overhead, many of them are unable to guarantee forward secrecy and cannot establish an anonymous conversation. In order to improve security and efficiency, we provide an authentication and key agreement mechanism for TMIS in smart city environments in this study. Fractional chaotic theory assumptions underlie the security assumptions. With just two messages exchanged, a secure session can be started using this approach, which enables forward secrecy. In addition, we compare and contrast related authentication techniques. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. |
