计算机网络
无线传感器网络
认证(法律)
匿名
人体区域网
信息隐私
加密
作者
Pandi Vijayakumar,Mohammad S. Obaidat,Maria Azees,SK Hafizul Islam,Neeraj Kumar
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2020-04-01
卷期号:16 (4): 2603-2611
被引量:36
标识
DOI:10.1109/tii.2019.2925071
摘要
Internet-of-Things (IoT)-based wireless body area networks (WBANs) play an important role in modern medical systems for patient-health monitoring. WBANs have the capability to collect real-time biological information from the patients’ body using intelligent sensors and then send the collected information to the remote doctors or medical experts using the Internet. In recent years, numerous anonymous authentication schemes were proposed to provide security in WBANs. However, many of these schemes are not computationally efficient during anonymous authentication. Moreover, the previous schemes did not provide location privacy for both doctors and patients. In order to overcome these limitations, in this article, we propose an efficient and secure anonymous authentication framework with location privacy preservation for IoT-based WBANs. The comprehensive analysis section shows that the proposed scheme overcomes the security weaknesses in the existing schemes and also provides low computation cost during anonymous authentication.
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