Efficient Conditional Privacy-Preserving Authentication Scheme for Safety Warning System in Edge-Assisted Internet of Things

Jianfeng Li, Na Hou, Guangwei Zhang, Jihao Zhang, Yu Liu and Xiang Gao ()
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Jianfeng Li: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
Na Hou: System Engineering Research Institute, Academy of Military Sciences, Beijing 100141, China
Guangwei Zhang: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
Jihao Zhang: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
Yu Liu: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
Xiang Gao: School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China

Mathematics, 2023, vol. 11, issue 18, 1-15

Abstract: With the advent of smart cities, the significance of the Internet of Things (IoT) is gaining greater prominence. At the same time, the safety early warning system in the IoT has a significant impact on real-time monitoring and the response to potential risks. Despite the advancements made in edge-assisted IoT deployments, several challenges and constraints persist. Given the potential threat to life posed by safety-related messages, ensuring the authenticity of messages in the edge-assisted IoT safety warning system is crucial. However, considering the identity privacy of devices participating in the edge-assisted Internet of Things system, directly verifying the identity of the sending device is undesirable. To address this issue, in this work, we design a linkable group signature scheme that allows devices to anonymously send safety-related messages to edge nodes, defending against Sybil attacks while ensuring the traceability of malicious device identities. Then, we present a high-efficiency conditional privacy-preserving authentication (CPPA) scheme based on the designed group signatures for the safety warning system in edge-assisted IoT. This scheme effectively protects device identity privacy while providing a reliable authentication mechanism to ensure the credibility and traceability of alert messages. The proposed scheme contributes to the field of safety warning systems in the context of edge-assisted IoT, providing a robust solution for privacy preservation and authentication.

Keywords: conditional privacy-preserving authentication; group signature; safety warning system; Internet of Things (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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