A computationally efficient authentication and key agreement scheme for multi-server switching in WBAN

In the wireless body area network (WBAN), the wearable device can monitor the patient's physiological information and send information to a server so that doctors can remotely diagnose the patient. As the patient's physiological information is sensitive, transmitting the data in the WBAN may reveal patient's privacy. In addition, in a multi-server environment, each server is usually independent of each other. However, most existing authentication schemes for WBAN either use a single-server model or do not consider multi-server switching issues. Therefore, we propose a computationally efficient mutual authentication and key agreement scheme for multi-server switching in WBAN. Our scheme ensures that patients can implement secure switching servers at any time in a multi-server environment. Our scheme proves to be secure under the Real-Or-Random model and ProVerif. In addition, compared with related schemes, our scheme solves the server switching problem while reducing the computational cost.