SECURITY BIOSIGNAL TRANSMISSION BASED ON FACE RECOGNITION FOR TELEMEDICINE

In telemedicine, an insecure and vulnerability medicine information system is important for nursing staff and patients. Relatively private information stolen by others still can be corrected. However, if attacked by hackers, mistakes in diagnosis can threaten the patient's life. In order to simplify the procedures in the authentication of telemedicine and to emphasize security in the patient's data, this paper proposes utilizing the symmetric key cryptography and the biometric authentication. We use a face eigenvector to insert the patient's physiological signals and to combine symmetric key cryptography thus protecting the integrity of the patient's data and improving the mode of operations.