An Efficient Privacy-Preserving Mutual Authentication Scheme for Secure V2V Communication in Vehicular Ad Hoc Network

Wu, Libing; Sun, Qiang; Wang, Xinpei; Wang, Jing; Yu, Shui; Zou, Yifei; Liu, Bingyi; Zhu, Zike

doi:10.1109/access.2019.2911924

Cited by 71 publications

(51 citation statements)

References 31 publications

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“…They use an ECC to protect entities' real identities and protect against internal attacks. In 2019, Wu et al [19] pointed out that Zhou et al's proposed protocol cannot prevent identity guessing and impersonation attacks and also cannot guarantee user's anonymity. In 2017, Zhang et al [1] proposed a personal information protection system based on distributed aggregation to conditionally block user's anonymity.…”

Section: Authentication Protocol For Vehicle Communicationmentioning

confidence: 99%

Secure Key Agreement and Authentication Protocol for Message Confirmation in Vehicular Cloud Computing

Lee

Kim

et al. 2020

Applied Sciences

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With the development of vehicular ad-hoc networks (VANETs) and Internet of vehicles (IoVs), a large amount of useful information is generated for vehicle drivers and traffic management systems. The amount of vehicle and traffic information is as large as the number of vehicles and it is enormous when compared to vehicle calculation and storage performance. To resolve this problem, VANET uses a combined cloud computing technology, called vehicular cloud computing (VCC), which controls vehicle-related data, and helps vehicle drivers directly or indirectly. However, VANETs remain vulnerable to attacks such as tracking, masquerade and man-in-the-middle attacks because VANETs communicate via open networks. To overcome these issues, many researchers have proposed secure authentication protocols for message confirmation with vehicular cloud computing. However, many researchers have pointed out that some proposed protocols use ideal tamper-proof devices (TPDs). They demonstrated that realistic TPDs cannot prevent adversaries attack. Limbasiya et al. presented a message confirmation scheme for vehicular cloud computing using a realistic TPD in order to prevent these problems. However, their proposed scheme still has security weaknesses over a TPD and does not guarantee mutual authentication. This paper proposes a secure key agreement and authentication protocol to address the security weaknesses inherent in the protocol of Limbasiya et al. The suggested protocol withstands malicious attacks and ensures secure mutual authentication for privacy-preserving. We prove that the proposed protocol can provide session key security using Real-Or-Random (ROR) model. We also employed Automated Validation of Internet Security Protocols and Applications (AVISPA) simulation tool to show that the proposed protocol is able to defeat replay and man-in-the-middle attacks. Furthermore, we established that the proposed protocol can resist other malicious attacks by conducting the informal security analysis. We proved that our proposed protocol is lightweight and suitable for VCC environments.

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Section: Authentication Protocol For Vehicle Communicationmentioning

confidence: 99%

Secure Key Agreement and Authentication Protocol for Message Confirmation in Vehicular Cloud Computing

Lee

Kim

et al. 2020

Applied Sciences

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“…This ranges from the level of network aspects such as vehicular ad hoc network VANET routing [1], clustering [2], reliability analysis [3], congestion solutions [4], internet of vehicles [5], etc., to the level of the road protocols for both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications [4]. Also, with the assistance of technology of long term evolution LTE [6] and handover [7], it became important to develop mature VANET models to solve various issues of networks performance in terms of quality of service QoS [8], throughput, stability [2] [9], scalability [10], security [11] [12], robustness,….etc. Clustering in VANETs is essential in various applications.…”

Section: Introductionmentioning

confidence: 99%

A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning and Extended Mobility Features for VANETs

Talib

Hassan

Alamery³

et al. 2020

IEEE Access

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VANETs clustering is an emerging research topic that serves in the intelligent transportation systems of today's technology. It aims at segmenting the moving vehicles in the road environment into subgroups named clusters, with cluster heads for enabling effective and stable routing. Most of the VANETs clustering approaches are based on distributed models which make the decision of clusters creation lacking the global view of the vehicle's distribution and mobility in the environment. However, the availability of the LTE and long ranges of base station motivated researchers recently to provide center-based approaches. Unlike existing center-based clustering approaches of VANETs, this article uses the road segmenting phase named grid partitioning before providing summarized information to the clustering center. Furthermore, it presents an integrated approach as a combination of all the clustering tasks including assigning, cluster head selection, removing, and merging. Evaluation of the proposed approach named center-based evolving clustering based on grid partitioning (CEC-GP) is proven superior from the perspective of efficiency, stability, and consistency. An improvement percentage of the efficiency in (CEC-GP) over the benchmarks Center based stable clustering (CBSC) and evolving data clustering algorithm (EDCA) is 65% and 394% respectively. INDEX TERMS vehicular ad hoc networks, VANETs clustering, Center-based clustering, evolving clustering, grid based-clustering.

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“…In the past decades, the numerous authentication and key agreement schemes for vehicular systems in IoT have been studied to achieve essential security requirements [2,3,4,5,6,7,8,9,10]. Although these schemes try to ensure privacy and enhance efficiency, their scheme is vulnerable to various potential attacks such as distributed denial of service and privileged insider attacks because it is based on trusted third party to provide high security level.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous privacy protection schemes for a vehicular system in IoT ensure security and improve efficiency [2,3,4,5,6,7,8,9,10]. In 2016, Lo and Tasi [2] proposed an efficient authentication scheme for vehicular sensor networks to improve performance.…”

Section: Introductionmentioning

confidence: 99%

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A Secure Charging System for Electric Vehicles Based on Blockchain

Kim

Park

et al. 2019

Sensors

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Smart grids incorporating internet-of-things are emerging solutions to provide a reliable, sustainable and efficient electricity supply, and electric vehicle drivers can access efficient charging services in the smart grid. However, traditional electric vehicle charging systems are vulnerable to distributed denial of service and privileged insider attacks when the central charging server is attacked. The blockchain-based charging systems have been proposed to resolve these problems. In 2018, Huang et al. proposed the electric vehicle charging system using lightning network and smart contract. However, their system has an inefficient charging mechanism and does not guarantee security of key. We propose a secure charging system for electric vehicles based on blockchain to resolve these security flaws. Our charging system ensures the security of key, secure mutual authentication, anonymity, and perfect forward secrecy, and also provides efficient charging. We demonstrate that our proposed system provides secure mutual authentication using Burrows–Abadi–Needham logic and prevents replay and man-in-the-middle attacks using automated validation of internet security protocols and applications simulation tool. Furthermore, we compare computation and communication costs with previous schemes. Therefore, the proposed charging system efficiently applies to practical charging systems for electric vehicles.

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An Efficient Privacy-Preserving Mutual Authentication Scheme for Secure V2V Communication in Vehicular Ad Hoc Network

Cited by 71 publications

References 31 publications

Secure Key Agreement and Authentication Protocol for Message Confirmation in Vehicular Cloud Computing

Secure Key Agreement and Authentication Protocol for Message Confirmation in Vehicular Cloud Computing

A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning and Extended Mobility Features for VANETs

A Secure Charging System for Electric Vehicles Based on Blockchain

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