Abstract
RFID technology has been used in many medical systems. The data transmitted in these medical systems is very important and sensitive. The security of these private data has a wide range of risks. Most existing protocols lack the idea of classified security protection for RFID-based medical systems. These protocols are difficult to apply directly. To address this problem, a reliable RFID based medical system classification protection protocol is proposed in this study without assuming that the channels between readers and server are safe. The protocol allows different participants to access the authorized tag data. The proposed protocol adopts timestamp, one-way hash function and mutual authentication procedure to provide security protection and good performance. Based on a formal analysis, GNY logic is used to verify the design correctness of the protocol. According to the analysis of attack model, the protocol can resist various attacks: Internal attack, replay attack, tracking attack, spoofing attack and DOS attack. Performance analysis indicates that the protocol has less communication overload, similar storage requirements and acceptable computation load compared with other related protocol.
Highlights
Radio Frequency Identification (RFID) is an automatic identification technology
The tag can collect physical health data as well as communicate and interact with the server (Fan et al, 2018). It makes remote real-time monitoring and telemedicine become a reality for Wireless Body Area Networks (WBAN) (He et al, 2013) and mobile health networks (Zhang et al, 2015)
Most existing protocols lack the idea of classified security protection for RFID-based medical systems
Summary
Radio Frequency Identification (RFID) is an automatic identification technology. Prominent RFID applications include medical system (Zhao et al, 2018; Youssef et al, 2019), Supply Chain Management (SCM) (Sun and Wei, 2019) and Internet of Things (IoT) (Álvarez López et al, 2018). The tag can collect physical health data as well as communicate and interact with the server (Fan et al, 2018). It makes remote real-time monitoring and telemedicine become a reality for Wireless Body Area Networks (WBAN) (He et al, 2013) and mobile health networks (Zhang et al, 2015). The RFID-based medical systems face two threats: External attack and internal attack Both attacks may lead to security threats and privacy disclosure. Most existing protocols lack the idea of classified security protection for RFID-based medical systems. Another protocols assume the channels between readers and servers are secure.
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