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一种用于基于射频识别的医疗系统的新型轻量级认证方案。

A Novel Lightweight Authentication Scheme for RFID-Based Healthcare Systems.

作者信息

Zhu Feng, Li Peng, Xu He, Wang Ruchuan

机构信息

School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China.

出版信息

Sensors (Basel). 2020 Aug 27;20(17):4846. doi: 10.3390/s20174846.

Abstract

The Internet of Things (IoT) has been integrated into legacy healthcare systems for the purpose of improving healthcare processes. As one of the key technologies of IoT, radio frequency identification (RFID) technology has been applied to offer services like patient monitoring, drug administration, and medical asset tracking. However, people have concerns about the security and privacy of RFID-based healthcare systems, which require a proper solution. To solve the problem, recently in 2019, Fan et al. proposed a lightweight RFID authentication scheme in the IEEE Network. They claimed that their scheme can resist various attacks in RFID systems with low implementation cost, and thus is suitable for RFID-based healthcare systems. In this article, our contributions mainly consist of two parts. First, we analyze the security of Fan et al.'s scheme and find out its security vulnerabilities. Second, we propose a novel lightweight authentication scheme to overcome these security weaknesses. The security analysis shows that our scheme can satisfy the necessary security requirements. Besides, the performance evaluation demonstrates that our scheme is of low cost. Thus, our scheme is well-suited for practical RFID-based healthcare systems.

摘要

物联网(IoT)已被集成到传统医疗系统中,旨在改善医疗流程。作为物联网的关键技术之一,射频识别(RFID)技术已被应用于提供诸如患者监测、药物管理和医疗资产跟踪等服务。然而,人们对基于RFID的医疗系统的安全性和隐私性存在担忧,这需要一个合适的解决方案。为了解决这个问题,最近在2019年,范等人在《IEEE网络》上提出了一种轻量级RFID认证方案。他们声称他们的方案能够以较低的实现成本抵御RFID系统中的各种攻击,因此适用于基于RFID的医疗系统。在本文中,我们的贡献主要包括两个部分。首先,我们分析了范等人方案的安全性并找出其安全漏洞。其次,我们提出了一种新颖的轻量级认证方案来克服这些安全弱点。安全分析表明我们的方案能够满足必要的安全要求。此外,性能评估表明我们的方案成本较低。因此,我们的方案非常适合实际的基于RFID的医疗系统。

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