The rapid growth of the Internet of Things technology in healthcare domain led to the appearance of many security threats and risks. It became very challenging to provide full protection with the expansion in using sensor objects in medical field, this led to the Internet of Medical Things definition, the security part in IoMT poses a perilous problem that keeps growing, because of the data sensitivity and critical information. The lack of providing a secure environment in IoMT may lead to patients privacy issues, not only leaving the data privacy of the patients at risk but also their lives can be in danger. In this paper, we provide a discussion on both definition and architecture of the Internet of Medical Things and Propose a new authentication approach through machine learning, to enhance the security level.
翻译:保健领域“物”技术互联网的迅速发展导致许多安全威胁和风险的出现,随着医疗领域传感器物体的使用扩大,提供充分保护变得非常困难,这导致医学物品互联网的定义,而IOMT中的安全部分构成一个危险的问题,由于数据敏感性和关键信息,这一问题不断增长;在IOMT中缺乏一个安全的环境,可能导致病人隐私问题,不仅使处于危险中的病人的数据隐私处于危险之中,而且他们的生命可能处于危险之中;在本文件中,我们讨论医疗物品互联网的定义和结构,并通过机器学习提出一种新的认证方法,以加强安全水平。