A Robust Mutual Authentication Scheme for Health-Focused Connected Intelligent Objects

The technology of connected intelligent objects dedicated to health has become a buzzword in medical circles. It has emerged as a popular trend in the world of health technology, but its growing popularity also raises concerns about security. Sensitive data stored on these devices, such as personal medical information, make them vulnerable to cyberattacks and data breaches. To prevent attacks on this technology, we have proposed a robust mutual authentication scheme that ensures perfectly secure communication for all information exchanged between the different participants forming the network of connected intelligent objects. Various experimental results consistently demonstrate that our proposed authentication solution outperforms its competitors in terms of robustness against various types of attacks on networks of connected intelligent objects. Additionally, it offers superior performance in terms of storage efficiency, communication and computational costs, and energy consumption.