Today, with the ever-expanding IoT, information technology has led the physical world to interact more with stimuli, sensors, and devices. The result of this interaction is communication "anytime, anywhere" in the real world. A research gap that can be felt in addition More
Today, with the ever-expanding IoT, information technology has led the physical world to interact more with stimuli, sensors, and devices. The result of this interaction is communication "anytime, anywhere" in the real world. A research gap that can be felt in addition to providing a multi-layered and highly secure protocol (a protocol that simultaneously performs authentication) and at the same time has a low computational burden. Therefore, in the field of health and treatment and for the purpose of remote monitoring of patients with physical and mental disabilities (such as patients with cerebral palsy and spinal cord amputation) there is an urgent need for a very safe protocol. The protocol we propose in this study is a two-layer protocol called "Identification-Authentication" which is based on EEG and fingerprint. Also, our authentication step is the modified Diffie-Hellman algorithm. This algorithm needs to be modified due to a security problem (the presence of a third person) that the proposed method is able to authenticate the patient with very high accuracy and high speed by receiving the patient's fingerprint and EEG signal. The proposed protocol was evaluated using data from 40 patients with spinal cord injury. The implementation results show more security of this protocol, Validity of the proposed protocol is checked and the processing time of authentication stage is decrease to 0.0215 seconds.
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