Mutual authentication for vehicular network in complex and uncertain driving

Xu, Cheng; Liu, Hongzhe; Zhang, Yong; Wang, Pengfei

doi:10.1007/s00521-018-3743-3

Cited by 23 publications

(12 citation statements)

References 33 publications

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“…In their protocol, they eliminated the need for preloading the master key of the system into Tamper-Proof Security and Communication Networks Device (TPD) of vehicle, thus avoiding the risk of compromising a vehicle's TPD leading to entire system failure. Some mutual authentication schemes [40][41][42] in other different scenarios have been proposed. Recently, Cui et al [6] introduced a secure mutual authentication for VANETs.…”

Section: Related Workmentioning

confidence: 99%

An Improved and Privacy-Preserving Mutual Authentication Scheme with Forward Secrecy in VANETs

Yao

Wang

Gan

et al. 2021

Security and Communication Networks

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Vehicular ad hoc network (VANETs) plays a major part in intelligent transportation to enhance traffic efficiency and safety. Security and privacy are the essential matters needed to be tackled due to the open communication channel. Most of the existing schemes only provide message authentication without identity authentication, especially the inability to support forward secrecy which is a major security goal of authentication schemes. In this article, we propose a privacy-preserving mutual authentication scheme with batch verification for VANETs which support both message authentication and identity authentication. More importantly, the proposed scheme achieves forward secrecy, which means the exposure of the shared key will not compromise the previous interaction. The security proof shows that our scheme can withstand various known security attacks, such as the impersonation attack and forgery attack. The experiment analysis results based on communication and computation cost demonstrate that our scheme is more efficient compared with the related schemes.

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Section: Related Workmentioning

confidence: 99%

An Improved and Privacy-Preserving Mutual Authentication Scheme with Forward Secrecy in VANETs

Yao

Wang

Gan

et al. 2021

Security and Communication Networks

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“…Xu et al [187] had communicated that different authentication schemes for multi-authentication models are proposed and connected to numerous zones, however less in the IoV. The authors, therefore, had proposed another Mutual Authentication and the Key Agreement Scheme (LEANDER) under multi-server design for Long-Term development for Vehicle (LTE-V) to organize for unsure driving conditions.…”

Section: Privacy and Securitymentioning

confidence: 99%

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Garg

Mehrotra

Pandey

et al. 2021

Peer-to-Peer Netw. Appl.

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This paper presents a state-of-the-art review of various models of Internet of Vehicles (IoV) that were proposed to revolutionize the transportation and automation industry. In the last few years, IoV technology has emerged as a global revolution, demonstrating considerable impact upon the transportation and automation industry, hence, the interest of the researchers bends towards the utility of the IoV technology which motivated us to present a comprehensive review. This paper, thus, collates recent findings along with some anticipated applications of IoV technologies for transportation. It brings to light the evolution of the IoV studies referred as models for transportation since its birth and aims to present a deep insightful review of various IoV technologies with their strengths and weaknesses. The reviewed literature is organized systematically to give a categorical overview of recent developments. This article also discusses the outstanding potentialities and challenges that exist in transportation from IoV perspective with the belief that these will have the capacity to be addressed in the near future. As there is no review literature on IoV technology available for transportation. Hence, we strongly believe that this study will be useful and enable the researchers to utilize IoV technologies to solve complex outstanding problems in transportation and automation. Keywords Internet of vehicles . V2X . network . Energy efficiency . Big data . QoS 1 IoV is abbreviated as Internet of Vehicles which has also been referred to by various names like ICV (Internet Connected Vehicles) or CV (Connected Vehicles) or AUV (Autonomous Vehicles) by other academicians. 2 V2X represents V2V, V2I, V2H, V2R and V2C which is also referred to as V2α by other academicians.

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“…We began our research on the technology, platform, and transfer of information concerning driving brain cognition for intelligent vehicles in 2014 [36][37][38]. Since 2016, we have been studying how V2X vehicles and subsystems should authenticate with each other [2,39,[40][41][42][43][44]. e spatiotemporal event interaction model architecture is shown in Figure 1, which includes both individual intelligent vehicles.…”

Section: Related Workmentioning

confidence: 99%

STEIM: A Spatiotemporal Event Interaction Model in V2X Systems Based on a Time Period and a Raster Map

Luo

Bao

et al. 2020

Mobile Information Systems

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e Internet of Vehicles (IoV) is an important artificial intelligence research field for intelligent transportation applications. Complex event interactions are important methods for data flow processing in a Vehicle to Everything (V2X) environment. Unlike the classic Internet of ings (IoT) systems, data streams in V2X include both temporal information and spatial information. us, effectively expressing and addressing spatiotemporal data interactions in the IoV is an urgent problem. To solve this problem, we propose a spatiotemporal event interaction model (STEIM). STEIM uses a time period and a raster map for its temporal model and spatial model, respectively. In this paper, first, we provide a spatiotemporal operator and a complete STEIM grammar that effectively expresses the spatiotemporal information of the spatiotemporal event flow in the V2X environment. Second, we describe the design of the operational semantics of the STEIM from the formal semantics. In addition, we provide a spatiotemporal event-stream processing algorithm that is based on the Petri net model. e STEIM establishes a mechanism for V2X event-stream temporal and spatial processing. Finally, the effectiveness of the STEIM-based system is demonstrated experimentally.

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Mutual authentication for vehicular network in complex and uncertain driving

Cited by 23 publications

References 33 publications

An Improved and Privacy-Preserving Mutual Authentication Scheme with Forward Secrecy in VANETs

An Improved and Privacy-Preserving Mutual Authentication Scheme with Forward Secrecy in VANETs

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

STEIM: A Spatiotemporal Event Interaction Model in V2X Systems Based on a Time Period and a Raster Map

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