An Efficient Privacy Authentication Scheme Based on Cloud Models for Medical Environment

Recently, medical model has become more convenient due to the usage of information technologies in medical field such as telecare medicine information system (TMIS). However, patient´s privacy in TMIS is vulnerable to be attacked causing the leakage of patient´s medical records and leading to a privacy issue. Researchers proposed some authentication scheme to solve these problems based on cloud, which protects the medical records from being stolen and provides convenience to medical service for patients. However, their schemes are still vulnerable to anonymity, substitution attack and patients cannot get telemedicine service if they do not go to hospital. In this paper, we proposed an improved authentication scheme based on cloud models for the medical environment to satisfy the security requirements including anonymity, substitution attack resistance and provide full function for telemedicine system, through which we can get medical service even when we are not in hospital. Moreover, we compare the computation time with their schemes and show our scheme is efficiency-enhanced.