Mutual Authentication Protocols Based on PUF and Multitrusted Authority for Internet of Vehicles

Internet of Vehicles (IoV) is a critical component of the transportation field, which can greatly facilitate the current transportation system. Meanwhile, more and more vehicles connect to the IoV and the security and privacy need to be guaranteed. Traditional authentication protocols based on bilinear pairs are computatively heavy and difficult to protect user identity and privacy in IoV environment. In addition, most existing protocols only consider the authentication between vehicles and infrastructure, but not consider between vehicles and vehicles, as well as single point of failure in the traditional single trusted authority (TA). To address these issues, this article proposes two lightweight mutual authentication protocols (MAPs) based on physical unclonable function (PUF) and multi-TA. The first protocol named V2I-MAP and is applied to vehicle-to-infrastructure (V2I) communication. The second is named V2V-MAP and is applied to vehicle-to-vehicle (V2V) communication. The protocols solve the interference of noise on PUF signals by fuzzy extractor, reduce the communication overhead and computation overhead of vehicles by utilizing PUF’s lightweight computation characteristics, deal with the problems of impersonation attack with the help of the unclonable characteristics of PUF, and work out single TA single point of failure problems with the multi-TA model. Finally, the security analysis and informal security analysis of the proposed protocols are demonstrates that the proposed protocols meet the security requirements of the IoV system. ProVerif is used to verify the security of the protocols. Performance analysis shows that the protocols can reduce the communication and computation overhead than the comparable protocols.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-08-26
DOI
https://doi.org/10.1109/jiot.2024.3449901
Citations
9
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
3.14

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article

Mutual Authentication Protocols Based on PUF and Multitrusted Authority for Internet of Vehicles

Weijie Tan, Chunguo Li, Zhen Li, Yuling Chen et al.
9 citations
IEEE Internet of Things Journal
Advanced Authentication Protocols Security
3.14
article

Mutual Authentication Protocols Based on PUF and Multitrusted Authority for Internet of Vehicles

Weijie Tan, Chunguo Li, Zhen Li, Yuling Chen, Yuting Yang
article en
9 citations

Abstract

Internet of Vehicles (IoV) is a critical component of the transportation field, which can greatly facilitate the current transportation system. Meanwhile, more and more vehicles connect to the IoV and the security and privacy need to be guaranteed. Traditional authentication protocols based on bilinear pairs are computatively heavy and difficult to protect user identity and privacy in IoV environment. In addition, most existing protocols only consider the authentication between vehicles and infrastructure, but not consider between vehicles and vehicles, as well as single point of failure in the traditional single trusted authority (TA). To address these issues, this article proposes two lightweight mutual authentication protocols (MAPs) based on physical unclonable function (PUF) and multi-TA. The first protocol named V2I-MAP and is applied to vehicle-to-infrastructure (V2I) communication. The second is named V2V-MAP and is applied to vehicle-to-vehicle (V2V) communication. The protocols solve the interference of noise on PUF signals by fuzzy extractor, reduce the communication overhead and computation overhead of vehicles by utilizing PUF’s lightweight computation characteristics, deal with the problems of impersonation attack with the help of the unclonable characteristics of PUF, and work out single TA single point of failure problems with the multi-TA model. Finally, the security analysis and informal security analysis of the proposed protocols are demonstrates that the proposed protocols meet the security requirements of the IoV system. ProVerif is used to verify the security of the protocols. Performance analysis shows that the protocols can reduce the communication and computation overhead than the comparable protocols.

IEEE Internet of Things JournalVol. 11(24)
Guizhou University (CN), Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Advanced Authentication Protocols Security
3.14
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