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Anonymous and Traceable Authentication for Securing Data Sharing in Parking Edge Computing

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Abstract

In parking edge computing, the service providers can engage the parking vehicles to provide computing services. The requesting vehicles can enjoy the advantages of the parking computing services with no need to build expensive equipment locally, whereas the parking vehicles can sell the computing resources to gain benefits. However, in an open parking computing system, the identity of each entity is easy to be counterfeited by other malicious entities, which may cause the leakage of privacy data of honest entities and the waste of parking computing resources. To address this issue, we propose an efficient authentication protocol between vehicle and roadside unit near the parking lot, which also allows two verified entities to generate a common key to enjoy the parking computing service confidentially. The protocol is extended to allow anonymous authentication so that the true identity would not be leaked to RSU during the authentication process, and malicious vehicle tracing if some forged or illegal authentication message is submitted to cheat the service provider or roadside unit. The security and efficiency analysis demonstrate that the proposed authentication protocols are secure and practical in applications.

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Authors and Affiliations

  1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, 541004, China

    Chunhai Li, Xiaohuan Li & Feng Zhao

  2. Guangxi Research Institute for Comprehensive Transportation Big Data, Nanning, 530000, China

    Xiaohuan Li

  3. Guangxi Key Laboratory of Cryptography and Information Security, School of Computer Science and Information Security, Guilin, University of Electronic Technology, Guilin, 541004, China

    Yujue Wang & Yong Ding

  4. Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, 518000, China

    Yong Ding

Authors
  1. Chunhai Li
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  2. Xiaohuan Li
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  3. Yujue Wang
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  4. Yong Ding
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  5. Feng Zhao
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Correspondence to Feng Zhao.

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This article is supported in part by the National Natural Science Foundation of China under projects 61772150, 61762030, 61862012 and 61962012 the Guangxi Key R&D Program under projects AB17195025, AA18242021 and AB19110050, the Guangxi Natural Science Foundation under grants 2018GXNSFDA281054, 2018GXNSFAA281232, 2019GXNSFFA245015, 2019GXNSFGA245004, 2019GXNSFFA245007 and AD19245048, and the Peng Cheng Laboratory Project of Guangdong Province PCL2018KP004.

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Li, C., Li, X., Wang, Y. et al. Anonymous and Traceable Authentication for Securing Data Sharing in Parking Edge Computing. Peer-to-Peer Netw. Appl. 14, 2099–2114 (2021). https://doi.org/10.1007/s12083-021-01104-7

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  • DOI: https://doi.org/10.1007/s12083-021-01104-7

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